Presentation delivered by James MacNee, Systems Development Team Leader at West College Scotland as part of the SMUG (Scottish Moodle User Group) Meet event on the 7th of June, 2019.
The document outlines a research methodology to study the effects of static navigation on cognitive load. It hypothesizes that static navigation will reduce cognitive load compared to non-static navigation. The methodology involves a controlled experiment with two groups - one using a website with static navigation and one with non-static navigation. Data on time taken, information recall, usability perceptions and cognitive friction will be collected through server logs, questionnaires and surveys to analyze the effects of navigation type.
Online assessment and data analytics - Peter Tan - Institute of Technical Edu...Blackboard APAC
Are you spending lots of time conducting and marking formative assessments, tracking the learning progress of your students, and providing early intervention so as to help them learn and achieve better grades? If so, using a Learning Management System (LMS) together with a data analytics tool may help to increase your productivity. In this session, we will cover how Blackboard tools can help you conduct assessments in a paperless manner and automate the marking. You will also learn how data analytics can help you turn raw assessment data into meaningful information which will help you identify the 'at-risk' students that need your extra help, the better ones that need more challenging tasks, and the chapters that may need to be delivered with a different pedagogical approach. Hence, with a robust LMS and a data analytics tool, your quality of teaching and students' learning will help to bring about a higher student success rate.
Extending Moodle - Moodlemoot Romania 2013Gavin Henrick
Presentation on Extending Moodle through Add-ons.
Presented at Moodlemoot Romania 2013.
Based on some of the principles from the book - http://moodleaddons.com
The document describes a test fest conducted by librarians at the University of North Carolina to address a backlog of usability issues. It involved running 5 simultaneous usability tests on topics like database access, research videos, the catalog, and discovery tools. 8 participants took part in the first round, with 2 additional participants completing 2 tests later. The tests used methods like task analysis, surveys, and sketching. Affinity diagramming was used to analyze the 44 tests, though not all data could be incorporated. Outcomes so far include reports, catalog changes, and discovery tool decisions. The discussion focuses on managing backlogs and improving the test fest approach.
Presentation at Empirical Librarians 2018 in Knoxville, TN.
At UNC Chapel Hill, the User Experience and Assessment department regularly runs usability tests to inform our decision making and prioritize our users’ perspectives as we make changes. But there are more things to test than there are hours in the day. Our projects have a variety of stakeholders who are very interested in improving their services, and we found ourselves with a long list of tests we wanted to run.
To catch up, we adapted Harvard Libraries’ Test Fest model: five tests run simultaneously, with five participants rotating through the set of tests. Over a span of two hours, we completed 25 individual usability tests. In this one event, we caught up on much of our testing backlog.
This session will outline how we planned and executed Test Fest and what we learned from using this approach. We’ll also discuss how we approached analyzing the large amount of qualitative data that was gathered during testing, via affinity diagrams and lots of post-it notes.
The focus of this session is on our methodologies with an aim to include time for attendees to discuss how they would have approached the backlog, setting up Test Fest, and analyzing the data.
Asking Clarifying Questions in Open-Domain Information-Seeking ConversationsMohammad Aliannejadi
Users often fail to formulate their complex information needs in a single query. As a consequence, they may need to scan multiple result pages or reformulate their queries, which may be a frustrating experience.
Alternatively, systems can improve user satisfaction by proactively asking questions of the users to clarify their information needs. Asking clarifying questions is especially important in conversational systems since they can only return a limited number of (often only one) result(s).
In this paper, we formulate the task of asking clarifying questions in open-domain information-seeking conversational systems. To this end, we propose an offline evaluation methodology for the task and collect a dataset, called Qulac, through crowdsourcing. Our dataset is built on top of the TREC Web Track 2009-2012 data and consists of over 10K question-answer pairs for 198 TREC topics with 762 facets.
Our experiments on an oracle model demonstrate that asking only one good question leads to over 170% retrieval performance improvement in terms of P@1, which clearly demonstrates the potential impact of the task. We further propose a retrieval framework consisting of three components: question retrieval, question selection, and document retrieval. In particular, our question selection model takes into account the original query and previous question-answer interactions while selecting the next question. Our model significantly outperforms competitive baselines. To foster research in this area, we have made Qulac publicly available.
The document discusses various tools for collecting and analyzing qualitative and quantitative data. It provides examples of tools for online surveys, data visualization, and statistical analysis in Excel, OpenStat, MATLAB, GNU Octave, SPSS, and more. These tools allow users to extract values from graphs, measure distances and angles, record color values, conduct descriptive statistics, correlations, regressions, and more.
The document outlines a research methodology to study the effects of static navigation on cognitive load. It hypothesizes that static navigation will reduce cognitive load compared to non-static navigation. The methodology involves a controlled experiment with two groups - one using a website with static navigation and one with non-static navigation. Data on time taken, information recall, usability perceptions and cognitive friction will be collected through server logs, questionnaires and surveys to analyze the effects of navigation type.
Online assessment and data analytics - Peter Tan - Institute of Technical Edu...Blackboard APAC
Are you spending lots of time conducting and marking formative assessments, tracking the learning progress of your students, and providing early intervention so as to help them learn and achieve better grades? If so, using a Learning Management System (LMS) together with a data analytics tool may help to increase your productivity. In this session, we will cover how Blackboard tools can help you conduct assessments in a paperless manner and automate the marking. You will also learn how data analytics can help you turn raw assessment data into meaningful information which will help you identify the 'at-risk' students that need your extra help, the better ones that need more challenging tasks, and the chapters that may need to be delivered with a different pedagogical approach. Hence, with a robust LMS and a data analytics tool, your quality of teaching and students' learning will help to bring about a higher student success rate.
Extending Moodle - Moodlemoot Romania 2013Gavin Henrick
Presentation on Extending Moodle through Add-ons.
Presented at Moodlemoot Romania 2013.
Based on some of the principles from the book - http://moodleaddons.com
The document describes a test fest conducted by librarians at the University of North Carolina to address a backlog of usability issues. It involved running 5 simultaneous usability tests on topics like database access, research videos, the catalog, and discovery tools. 8 participants took part in the first round, with 2 additional participants completing 2 tests later. The tests used methods like task analysis, surveys, and sketching. Affinity diagramming was used to analyze the 44 tests, though not all data could be incorporated. Outcomes so far include reports, catalog changes, and discovery tool decisions. The discussion focuses on managing backlogs and improving the test fest approach.
Presentation at Empirical Librarians 2018 in Knoxville, TN.
At UNC Chapel Hill, the User Experience and Assessment department regularly runs usability tests to inform our decision making and prioritize our users’ perspectives as we make changes. But there are more things to test than there are hours in the day. Our projects have a variety of stakeholders who are very interested in improving their services, and we found ourselves with a long list of tests we wanted to run.
To catch up, we adapted Harvard Libraries’ Test Fest model: five tests run simultaneously, with five participants rotating through the set of tests. Over a span of two hours, we completed 25 individual usability tests. In this one event, we caught up on much of our testing backlog.
This session will outline how we planned and executed Test Fest and what we learned from using this approach. We’ll also discuss how we approached analyzing the large amount of qualitative data that was gathered during testing, via affinity diagrams and lots of post-it notes.
The focus of this session is on our methodologies with an aim to include time for attendees to discuss how they would have approached the backlog, setting up Test Fest, and analyzing the data.
Asking Clarifying Questions in Open-Domain Information-Seeking ConversationsMohammad Aliannejadi
Users often fail to formulate their complex information needs in a single query. As a consequence, they may need to scan multiple result pages or reformulate their queries, which may be a frustrating experience.
Alternatively, systems can improve user satisfaction by proactively asking questions of the users to clarify their information needs. Asking clarifying questions is especially important in conversational systems since they can only return a limited number of (often only one) result(s).
In this paper, we formulate the task of asking clarifying questions in open-domain information-seeking conversational systems. To this end, we propose an offline evaluation methodology for the task and collect a dataset, called Qulac, through crowdsourcing. Our dataset is built on top of the TREC Web Track 2009-2012 data and consists of over 10K question-answer pairs for 198 TREC topics with 762 facets.
Our experiments on an oracle model demonstrate that asking only one good question leads to over 170% retrieval performance improvement in terms of P@1, which clearly demonstrates the potential impact of the task. We further propose a retrieval framework consisting of three components: question retrieval, question selection, and document retrieval. In particular, our question selection model takes into account the original query and previous question-answer interactions while selecting the next question. Our model significantly outperforms competitive baselines. To foster research in this area, we have made Qulac publicly available.
The document discusses various tools for collecting and analyzing qualitative and quantitative data. It provides examples of tools for online surveys, data visualization, and statistical analysis in Excel, OpenStat, MATLAB, GNU Octave, SPSS, and more. These tools allow users to extract values from graphs, measure distances and angles, record color values, conduct descriptive statistics, correlations, regressions, and more.
Influencing factors on students' continuance intention to use lmsAhad Zare Ravasan
This document summarizes a study that examined factors influencing students' continued intention to use learning management systems (LMS). The researcher conducted a survey of 153 graduate students in Iran to understand how perceived usefulness, enjoyment, and mobility of LMS impact continued usage. Results from partial least squares analysis showed that perceived usefulness and hedonic aspects like enjoyment positively influenced continued use, while mobility features did not. However, the study was limited by its cross-sectional design, single university sample, and lack of analysis of demographic differences. The researcher concludes by emphasizing predictors of LMS perceived usefulness and calling for further examination of hedonic and mobility aspects.
Predictive analytics has been a hot topic recently as there have been many controversial questions asked if it will negatively impact students with a discouraging prediction.
The power of predictive analytics in education isn’t determining a student’s future in advance. It’s helping shape positive outcomes while there is still time to act. With large class sizes and growing advisor to student ratios, identifying students in need of help can be a difficult challenge. Instructors can see current grades or whether students complete assignments on time, but this limited view does not capture the students who might be likely to struggle later in the semester even though they are doing fine now.
Nicole will share about how institutions can forecast student success and struggles in their learning and how you can run a cutting-edge way of leveraging data with timely interventions offers a potentially powerful mechanism of students identification at the point and time of failure, before it is too late, and offering them strategies to overcome failures.
This document discusses educational computer simulations, including their goals, didactical functions, technology, implementation, and new trends. It describes how simulations can help students gain concrete experience through experimentation with simulated systems. Simulations provide visualization, activation, experimentation, and feedback. They support learning methods like discovery learning, problem-oriented learning, and scientific experimentation. New trends include web-based simulations and integrating simulations with other educational software.
This document discusses determining student satisfaction with an online registration system at IoBM. It outlines the purpose and hypothesis, which is that students are not satisfied with the system and it has not met its objectives. The methodology section describes data collection through questionnaires and analysis using SPSS software. Analysis found that students are dissatisfied due to long waiting periods, not getting desired courses, and unhelpful administration attitudes. Recommendations include addressing technical issues, improving the course display, minimizing loading times, allowing dropped courses, and providing supportive counseling for students.
This document discusses and provides examples of process flowcharts for college graduation. It begins by introducing process flowcharts and common symbols used. It then provides a macro flowchart summarizing the overall graduation process from admission through final results. A micro flowchart drills down on specific areas like attendance, submissions, and exams. Finally, it identifies three common trouble spots in the graduation process and concludes by thanking the reader.
MOOC Dropout Prediction Using Machine Learning Techniques: Review and Researc...Fisnik Dalipi
This document summarizes a paper on using machine learning techniques to predict student dropout in MOOCs. It identifies several challenges, including lack of sample data, unstructured data, data variance, imbalance, and lack of standards. It reviews common machine learning methods used for prediction, with logistic regression and deep neural networks being most frequent. Overall, the document outlines research in this area and proposes solutions like standardizing data collection and leveraging additional student information to improve predictive models.
An insight into Educational Data Mining at Muğla Sıtkı Koçman University, Turkeystrehlst
This presentation discusses educational data mining research conducted at Muğla Sıtkı Koçman University to analyze student performance and develop models to predict success or failure. The research team analyzed data from university systems to build decision tree models relating factors like family income, English language preparation, and registration preferences to GPA. The models aimed to help identify factors influencing student outcomes and guide improvements. Issues addressed included limited data availability and usability of results for practitioners.
Summary
This website considered to be a virtual learning environment and a Student-centered learning that helps students and faculty members to increase the interaction in educational process to enhance the academic educational process.
Our system mainly depends on quality assurance system using ILO's (Intent Learning Objectives) which its main objectives is to measure 4 roles ILO's :
1-Knowledge and understanding
2-Intellectual skills
3- Professional and practical skills.
4- General and transferable skills.
System Divided into: Course Management System, Quiz/Assignment/training Management system, Virtual class room, Online Lecture Streaming, Virtual Office Hours, ILO's mapping
The core benefit of projects lies in:
1- Student can know through a set of reports his weakness points through each chapter he attempts and finishes its assessments
2- Doctor's/TA's can know by each chapter what they succeeded in delivering to student's through providing reports with non-passed objectives of chapter through attempted assessments by students
3- Faculty itself can know covered Academic Program ILO's through mapping done periodically over term and what is not covered or failed to deliver to improve/fix by next semesters
4- Faculty can Know goodness/weakness points of stuff
The document summarizes the four phases of conducting a needs assessment: 1) Planning - defining the audience, data to be collected, and collection methods; 2) Collecting Data - determining sample size and collecting data via surveys; 3) Analyzing Data - identifying needs categories and prioritizing needs; 4) Compiling a Final Report - with the purpose, process, quantitative and qualitative results, and recommendations. It then provides details of each phase for a needs assessment conducted at San Jacinto College to transition classes online due to COVID-19, finding most staff, instructors, and students were willing and able to participate in the new online environment.
Using interactive models to enhance UML educationStephen Frezza
Describes a pilot project to utilize flash to create an interactive model of a UML design. This allowed students to investigate the semantic concepts involved in the design, and enhance their learning of UML notations and use.
Simulation and modelling in teaching and learning inaisyahsahira
Simulation is a technique that mimics real-life processes or systems through models on a computer. STELLA is simulation software that allows users to model and simulate systems using stocks, flows, connectors and converters. It can help students learn concepts like the nitrogen cycle visually and explore how changing variables impacts outcomes. While simulations provide benefits like exploring dangerous situations safely, they also have disadvantages like requiring internet and time to design experiments. Overall, STELLA gives more advantages than disadvantages by enabling quick experimentation and visualization of results.
The document discusses a project to integrate student exam results from a student records system into an institution's virtual learning environment. It aimed to address inconsistent presentation of exam results, reduce duplication of effort, and improve privacy. The design developed object-oriented data models and gathered positive student feedback on a wireframe. The development team queried the student records database directly and created a backend to support other database systems. The application allows flexible, 24/7 online access to live exam results through a single sign-on. Future enhancements could include promoting timely input of results, a request feature for students, and inclusion of staff comments.
Tracking systems for VET graduates- methodology and toolsNatassa Kazantzidou
This document discusses tracking systems for vocational education and training (VET) graduates. It provides an overview of the On Track project, which aims to improve the quality of VET provision by tracking the learning and career paths of VET graduates. The On Track methodology involves surveying graduates within one year and two years after graduation using standardized questionnaires. The surveys measure indicators like employment status, salary, and satisfaction. The document describes how to establish a graduate tracking system by defining objectives, indicators, methodology, and resources. It also presents the On Track tools, which include online surveys in multiple languages, and encourages participation in pilots of the tracking system.
TLC2016 - A showcase of using BB LEARN in large coursesBlackboardEMEA
Presenter: Robert Rozier
Organisation: Hanze University Groningen
Description: At the School of Communication Media and IT eduction is structured in integrated domains.
Web programming is one of these domains. Students have to attend a number of different courses. Courses are subdivided into lectures and practicals, demand that online instructional videos are to be viewed and have formative tests at regular intervals. The ramifications are that heavy burden is placed on the LMS since it has to both incorporate all the different courses, projects, assignments, and has to allow for attendance registration. The number of users and of roles is high. We will present a show case of how to structure a course in BB thus reducing this complexity especially for instructors.
This document discusses two methodological approaches to assessing transformational learning in online professional programs and the challenges of each. Transformational learning involves a changed perspective through critical reflection and discourse. The approaches studied transformational learning in an online social work program and education doctorate program. The internal approach used embedded assessments like student e-portfolios, while the external approach employed interviews and surveys by external researchers. Both found evidence of transformational learning, but the internal approach relied on student self-reports while the external approach could not follow-up with students after their programs. The conclusion is that combining internal and external approaches may best assess transformational learning, but challenges remain in avoiding bias and designing sustainable methodologies.
The document discusses the development of an online examination system as an alternative to a manual paper-based system. It outlines some of the drawbacks of the current manual system, such as delays in results, difficulty maintaining records, and proposes building a web-based online examination system using Visual Basic and SQL Server. The system would allow exams to be conducted remotely, graded automatically or manually, and results released faster without the costs associated with paper exams. It also reviews features of some existing online exam systems and justifies why developing a new system could reduce costs, efforts, and time compared to the current manual process.
The document summarizes a college enquiry chatbot project created by three students. It introduces the purpose of the chatbot, which is to provide instant answers to student inquiries about courses, admissions, fees, scholarships and more. It then reviews relevant literature and the limitations of existing systems. The proposed system is described as using artificial intelligence to analyze user questions and respond as if a person is answering. The methodology, system design, and hardware/software requirements are also outlined.
4 reasons why you need online assessmentsTotus Tabaque
This document discusses 4 reasons for using online testing:
1. It allows for immediate generation of results without manual scoring or data entry. Various question types can be used.
2. Test data is automatically collated, eliminating the need for facilitator intervention. Data can be presented in graphs, tables and other formats.
3. Analysis of test data is easier since deep statistical or analytical knowledge is not required. Different views of the data allow for better analysis of student, class and question performance.
Influencing factors on students' continuance intention to use lmsAhad Zare Ravasan
This document summarizes a study that examined factors influencing students' continued intention to use learning management systems (LMS). The researcher conducted a survey of 153 graduate students in Iran to understand how perceived usefulness, enjoyment, and mobility of LMS impact continued usage. Results from partial least squares analysis showed that perceived usefulness and hedonic aspects like enjoyment positively influenced continued use, while mobility features did not. However, the study was limited by its cross-sectional design, single university sample, and lack of analysis of demographic differences. The researcher concludes by emphasizing predictors of LMS perceived usefulness and calling for further examination of hedonic and mobility aspects.
Predictive analytics has been a hot topic recently as there have been many controversial questions asked if it will negatively impact students with a discouraging prediction.
The power of predictive analytics in education isn’t determining a student’s future in advance. It’s helping shape positive outcomes while there is still time to act. With large class sizes and growing advisor to student ratios, identifying students in need of help can be a difficult challenge. Instructors can see current grades or whether students complete assignments on time, but this limited view does not capture the students who might be likely to struggle later in the semester even though they are doing fine now.
Nicole will share about how institutions can forecast student success and struggles in their learning and how you can run a cutting-edge way of leveraging data with timely interventions offers a potentially powerful mechanism of students identification at the point and time of failure, before it is too late, and offering them strategies to overcome failures.
This document discusses educational computer simulations, including their goals, didactical functions, technology, implementation, and new trends. It describes how simulations can help students gain concrete experience through experimentation with simulated systems. Simulations provide visualization, activation, experimentation, and feedback. They support learning methods like discovery learning, problem-oriented learning, and scientific experimentation. New trends include web-based simulations and integrating simulations with other educational software.
This document discusses determining student satisfaction with an online registration system at IoBM. It outlines the purpose and hypothesis, which is that students are not satisfied with the system and it has not met its objectives. The methodology section describes data collection through questionnaires and analysis using SPSS software. Analysis found that students are dissatisfied due to long waiting periods, not getting desired courses, and unhelpful administration attitudes. Recommendations include addressing technical issues, improving the course display, minimizing loading times, allowing dropped courses, and providing supportive counseling for students.
This document discusses and provides examples of process flowcharts for college graduation. It begins by introducing process flowcharts and common symbols used. It then provides a macro flowchart summarizing the overall graduation process from admission through final results. A micro flowchart drills down on specific areas like attendance, submissions, and exams. Finally, it identifies three common trouble spots in the graduation process and concludes by thanking the reader.
MOOC Dropout Prediction Using Machine Learning Techniques: Review and Researc...Fisnik Dalipi
This document summarizes a paper on using machine learning techniques to predict student dropout in MOOCs. It identifies several challenges, including lack of sample data, unstructured data, data variance, imbalance, and lack of standards. It reviews common machine learning methods used for prediction, with logistic regression and deep neural networks being most frequent. Overall, the document outlines research in this area and proposes solutions like standardizing data collection and leveraging additional student information to improve predictive models.
An insight into Educational Data Mining at Muğla Sıtkı Koçman University, Turkeystrehlst
This presentation discusses educational data mining research conducted at Muğla Sıtkı Koçman University to analyze student performance and develop models to predict success or failure. The research team analyzed data from university systems to build decision tree models relating factors like family income, English language preparation, and registration preferences to GPA. The models aimed to help identify factors influencing student outcomes and guide improvements. Issues addressed included limited data availability and usability of results for practitioners.
Summary
This website considered to be a virtual learning environment and a Student-centered learning that helps students and faculty members to increase the interaction in educational process to enhance the academic educational process.
Our system mainly depends on quality assurance system using ILO's (Intent Learning Objectives) which its main objectives is to measure 4 roles ILO's :
1-Knowledge and understanding
2-Intellectual skills
3- Professional and practical skills.
4- General and transferable skills.
System Divided into: Course Management System, Quiz/Assignment/training Management system, Virtual class room, Online Lecture Streaming, Virtual Office Hours, ILO's mapping
The core benefit of projects lies in:
1- Student can know through a set of reports his weakness points through each chapter he attempts and finishes its assessments
2- Doctor's/TA's can know by each chapter what they succeeded in delivering to student's through providing reports with non-passed objectives of chapter through attempted assessments by students
3- Faculty itself can know covered Academic Program ILO's through mapping done periodically over term and what is not covered or failed to deliver to improve/fix by next semesters
4- Faculty can Know goodness/weakness points of stuff
The document summarizes the four phases of conducting a needs assessment: 1) Planning - defining the audience, data to be collected, and collection methods; 2) Collecting Data - determining sample size and collecting data via surveys; 3) Analyzing Data - identifying needs categories and prioritizing needs; 4) Compiling a Final Report - with the purpose, process, quantitative and qualitative results, and recommendations. It then provides details of each phase for a needs assessment conducted at San Jacinto College to transition classes online due to COVID-19, finding most staff, instructors, and students were willing and able to participate in the new online environment.
Using interactive models to enhance UML educationStephen Frezza
Describes a pilot project to utilize flash to create an interactive model of a UML design. This allowed students to investigate the semantic concepts involved in the design, and enhance their learning of UML notations and use.
Simulation and modelling in teaching and learning inaisyahsahira
Simulation is a technique that mimics real-life processes or systems through models on a computer. STELLA is simulation software that allows users to model and simulate systems using stocks, flows, connectors and converters. It can help students learn concepts like the nitrogen cycle visually and explore how changing variables impacts outcomes. While simulations provide benefits like exploring dangerous situations safely, they also have disadvantages like requiring internet and time to design experiments. Overall, STELLA gives more advantages than disadvantages by enabling quick experimentation and visualization of results.
The document discusses a project to integrate student exam results from a student records system into an institution's virtual learning environment. It aimed to address inconsistent presentation of exam results, reduce duplication of effort, and improve privacy. The design developed object-oriented data models and gathered positive student feedback on a wireframe. The development team queried the student records database directly and created a backend to support other database systems. The application allows flexible, 24/7 online access to live exam results through a single sign-on. Future enhancements could include promoting timely input of results, a request feature for students, and inclusion of staff comments.
Tracking systems for VET graduates- methodology and toolsNatassa Kazantzidou
This document discusses tracking systems for vocational education and training (VET) graduates. It provides an overview of the On Track project, which aims to improve the quality of VET provision by tracking the learning and career paths of VET graduates. The On Track methodology involves surveying graduates within one year and two years after graduation using standardized questionnaires. The surveys measure indicators like employment status, salary, and satisfaction. The document describes how to establish a graduate tracking system by defining objectives, indicators, methodology, and resources. It also presents the On Track tools, which include online surveys in multiple languages, and encourages participation in pilots of the tracking system.
TLC2016 - A showcase of using BB LEARN in large coursesBlackboardEMEA
Presenter: Robert Rozier
Organisation: Hanze University Groningen
Description: At the School of Communication Media and IT eduction is structured in integrated domains.
Web programming is one of these domains. Students have to attend a number of different courses. Courses are subdivided into lectures and practicals, demand that online instructional videos are to be viewed and have formative tests at regular intervals. The ramifications are that heavy burden is placed on the LMS since it has to both incorporate all the different courses, projects, assignments, and has to allow for attendance registration. The number of users and of roles is high. We will present a show case of how to structure a course in BB thus reducing this complexity especially for instructors.
This document discusses two methodological approaches to assessing transformational learning in online professional programs and the challenges of each. Transformational learning involves a changed perspective through critical reflection and discourse. The approaches studied transformational learning in an online social work program and education doctorate program. The internal approach used embedded assessments like student e-portfolios, while the external approach employed interviews and surveys by external researchers. Both found evidence of transformational learning, but the internal approach relied on student self-reports while the external approach could not follow-up with students after their programs. The conclusion is that combining internal and external approaches may best assess transformational learning, but challenges remain in avoiding bias and designing sustainable methodologies.
The document discusses the development of an online examination system as an alternative to a manual paper-based system. It outlines some of the drawbacks of the current manual system, such as delays in results, difficulty maintaining records, and proposes building a web-based online examination system using Visual Basic and SQL Server. The system would allow exams to be conducted remotely, graded automatically or manually, and results released faster without the costs associated with paper exams. It also reviews features of some existing online exam systems and justifies why developing a new system could reduce costs, efforts, and time compared to the current manual process.
The document summarizes a college enquiry chatbot project created by three students. It introduces the purpose of the chatbot, which is to provide instant answers to student inquiries about courses, admissions, fees, scholarships and more. It then reviews relevant literature and the limitations of existing systems. The proposed system is described as using artificial intelligence to analyze user questions and respond as if a person is answering. The methodology, system design, and hardware/software requirements are also outlined.
4 reasons why you need online assessmentsTotus Tabaque
This document discusses 4 reasons for using online testing:
1. It allows for immediate generation of results without manual scoring or data entry. Various question types can be used.
2. Test data is automatically collated, eliminating the need for facilitator intervention. Data can be presented in graphs, tables and other formats.
3. Analysis of test data is easier since deep statistical or analytical knowledge is not required. Different views of the data allow for better analysis of student, class and question performance.
This document discusses the importance of data quality control and cleaning procedures. It outlines several key stages in ensuring data quality, including: designing data collection tools, training enumerators, conducting back checks during field data collection, managing the data entry process including double blind entry, and standard cleaning procedures such as checking for unique identifiers and logical skips. Maintaining quality control at each stage from research design to data storage is crucial for producing accurate and reliable research results.
The Moodle Trigger plugin allows Moodle events to trigger workflows that communicate with external systems. It defines workflows as a series of steps that can include filters, lookups, and actions. For example, a workflow could email a student and send completion data to a student management system when a student completes a course. The plugin aims to automate actions and integrate Moodle with external systems through a flexible framework. It sees ongoing development to improve ease of use, available fields, and processing speed.
MOOCs Back to Reality Oops There Goes GravityPearson
This document discusses the design and results of a MOOC course on basic math skills created by Cuyahoga Community College. Key points:
- The MOOC used a gamified design to target students with little college experience, incorporating stories, open educational resources, levels, and digital badges.
- 18% of enrolled students completed the course, comparable to traditional online courses. 76% of students who took a post-test improved their math placement.
- A survey found most students had low levels of educational attainment prior to the MOOC. Over a quarter were currently enrolled in a 2-year college program after taking the course.
Are you looking to automate admission process for your university ?
Do you want to reduce admission cycle to make life of colleges and students better ?
Explore details of centralized admission process and how technology can simplify it by simple co ordination between various entities like college,student, admission support teams. It also includes student counseling process to allocate college or stream of student choice based on merit of the student and other admission criteria with reservations.
Transforming eTMF Management: Moving to a Data-Driven ApproachMontrium
We are moving towards a digital age of automation in clinical trials where electronic management of content and data to document activities and decisions is the industry-wide norm.
This means that the concept of TMF is also evolving and is no longer just a document repository, but rather a collection of systems holding content and data. As a result, there is a strong business case from moving away from just archiving documents to actively managing TMF content and information using techniques and practices borrowed from clinical data management.
In this webinar, we will look at how you can use queries, data review and process-based approaches to ensure that your TMF tells an accurate and complete story of what occurred in your study. We will also discuss the greater scope of TMF relevant information and systems and how you can best integrate these sources into a more holistic environment to greatly facilitate inspections and clinical trial oversight.
The document discusses using data mining techniques to model and predict outcomes for freshmen students. It compares several data mining methods and finds that gradient boosting and classification and regression trees (CART) performed best in predicting GPA based on high school and college academic factors. Specifically, it selected the CART method to build a decision tree model. The model found high school GPA, scholarship aid, AP credits, and LMS course logins to be most important in predicting freshmen GPA.
ASAC Presentation for 2015 WSHETC (Final)Dave Dean
Overview of Academic Systems Advisory Committee at Eastern Washington University. Presented at 2015 Washington State Higher Education Technology Conference.
A lack of access to educational resources is a challenge for many students. A proposed solution is to develop an open educational resources (OER) platform that provides free, high-quality learning materials for all subjects and grade levels. The platform would utilize advanced technologies like virtual and augmented reality to bring subjects to life. Educators and subject matter experts from around the world would contribute materials. The goal would be to make a comprehensive catalog of educational resources available to any student with an internet connection.
Bridging the Divide: High Technology in Low-resource Settings (MedBiquitous M...James BonTempo
Jhpiego is an international health organization that works to strengthen healthcare in limited-resource settings. They conducted a project to develop and implement electronic training materials for HIV care, treatment and prevention across three universities in Ethiopia. An assessment found large variation in technology readiness across sites. Recommendations included strengthening IT staff competencies, developing exemplar e-learning materials, and maximizing the use of mobile learning. Immediate solutions included setting up an e-learning lab and distributed learning management system. Next steps involve expanding implementations and integrating mobile learning technologies. Lessons learned stress understanding limitations, leveraging local expertise, and maintaining stakeholder engagement.
Utilizing Multiple Grader Rubrics for Practical Assessment of Student Perform...ExamSoft
This document discusses using multiple grader rubrics to assess student performance. It provides an overview of Marshall University College of Osteopathic Medicine (MU-COM), which uses a competency-based curriculum and iPad-exclusive assessments. The presentation discusses using rubrics to evaluate lab practicals, simulations, objective structured clinical examinations, and small group evaluations. Rubrics allow tracking student performance across competencies and disciplines. Benefits of multiple grader rubrics include immediate faculty feedback, timelier student feedback, and generating longitudinal reports. The presentation concludes with questions about assessing practical student performance and incorporating multiple grader rubrics.
From a thousand learners to a thousand markers: Scaling peer feedback with Ad...NomadWarMachine
Adaptive comparative judgement (ACJ) is an assessment method that ranks artifacts based on comparative judgements rather than absolute scores. It produces a fully ranked set of submissions. ACJ uses a single implicit criterion rather than detailed rubrics, and can be used to assess a variety of media. The authors describe an implementation of ACJ software that runs as an LTI tool for platforms like Moodle. Case studies show it has been used successfully in a MOOC and computer science course. Students found the peer assessment process using ACJ to be useful for improving their own work.
This document discusses machine learning algorithms for ranking problems. It introduces supervised learning to rank methods including pointwise, pairwise and listwise approaches. Pointwise methods predict relevance scores independently but don't consider order. Pairwise approaches consider relative order but have high computational costs. Listwise methods aim to optimize entire orderings but have complexity issues. Practical challenges include defining objective metrics, generating training labels, and handling new items with limited data. Semi-supervised learning and matrix factorization can help address labeling problems.
The document discusses analyzing data from various programs run by an Office of Minority Education to assess their effectiveness and impact on student outcomes. It describes collecting data from sources like the admissions, registrar's, and institutional research offices on topics like GPA, course performance, and retention. The data is then exported, analyzed, and compiled into reports to evaluate programs like the summer bridge challenge program, peer mentoring, and academic support and determine how to improve student achievement.
The document describes an online examination system that allows various certificate and non-certificate exams to be conducted and processed at different centers across countries via the internet. It allows students to take exams at any available center of their choice and gives companies and institutions a way to evaluate outstanding exam takers across a country. The system was developed using PHP and MySQL and has features for students to take exams, view results, and change passwords, for teachers to set questions, specify answers, and view marks, and for administrators to create/delete accounts and change student marks. It discusses the advantages, technologies used, constraints, and addresses bottlenecks of existing paper-based systems such as reduced paperwork and easier reviewing.
A comparison of the experience of University of Edinburgh Data Library staff of creating Open Educational Resources (OERs) for Research Data Management training using Xerte (to build MANTRA) compared to Coursera for the Research Data Management and Sharing MOOC. #RDMSmooc #OER16 This presentation was a Lightning Talk by Pauline Ward at the OER16 conference on 19 April 2016.
As we all make the switch to online delivery, it’s important to make the online experience as accessible as possible to all of our students. Here are some tips around how you can make that delivery work for everyone.
Presentation delivered by Laura Hutton, Forth Valley College, as part of the Virtual Bridge Session series.
Watch the video at: https://www.youtube.com/watch?v=heL6z_CrsP4
Follow along at https://twitter.com/Virtual_Bridge and see what's coming up next at https://bit.ly/VBsessions
Presentation delivered by Gillian Fielding & Josephine Kinsey, Blackboard at a SMUG Meet event on 4th March, 2022.
Gillian provides a brief overview of the Blackboard Ally platform followed by a live demo of Ally by Jo.
To join SMUG, subscribe to the mailing list at: www.jiscmail.ac.uk/smug
Watch the recording at: https://youtu.be/dcKyFeMaw7E
Presentation delivered by Drew McConnell, University of Glasgow at a SMUG Meet event on 4th March, 2022.
Drew McConnell then covers the University of Glasgow’s experience of using Ally in a live setting.
To join SMUG, subscribe to the mailing list at: www.jiscmail.ac.uk/smug
Watch the recording at: https://youtu.be/dcKyFeMaw7E
This session will pull together lessons learned for HMI work with colleges over the period of remote learning. It will examine the changes, and strong practices identified. This session will also be supported by Dumfries and Galloway College who developed a strong CPD programme reflecting the different levels of skill within the staff on use of technologies for remote learning.
Presentation delivered by Ian Beach, HMI, Education Scotland; Mandy Wallace & Angela Connelly, Dumfries & Galloway College, as part of the Virtual Bridge Session series.
Watch the video at: https://www.youtube.com/watch?v=KFxWIg45_XA
Follow along at https://twitter.com/Virtual_Bridge and see what's coming up next at https://bit.ly/VBsessions
Presentation delivered by Brian Forsyth, Glasgow Clyde College at the CDN MIS Network Event on 28-04-21. Access the presentation recording on the CDN website: www.cdn.ac.uk
Presentation delivered by Kenny Wilson, SFC, at the CDN MIS Network Event on 28-04-21. Access the presentation recording on the CDN website: www.cdn.ac.uk
New College Lanarkshire was implementing digital ID cards to replace physical cards for its 12,000 students annually. This was to address issues with producing and distributing plastic cards at the busiest time of year, which cost over £1 per card when including materials but not staff time. The college partnered with Yoti to provide a digital ID card option through their app that students could download, reducing the need to carry a physical card. Over 2,000 students utilized the digital ID card app in the first year of implementation, delighting registration staff and being cost neutral compared to physical cards. While some students preferred a physical card, the program was considered a success and will be further trialled.
This document discusses strategies for effective hybrid delivery of lessons. It begins by outlining some challenges of the hybrid model and assumptions about remote and in-person students. It then provides approaches for designing consistent lesson plans that ensure equity of experience for all students. Tips are provided for preparing the physical space and technology setup. The document gives advice for delivery, such as connecting with students and sharing the lesson plan. Potential experiences of students and lecturers in the hybrid model are also summarized based on research. Overall, the document aims to provide guidance and best practices for implementing high-quality hybrid instruction.
Are social media platforms the new Library? YouTube, Instagram and TikTok are increasingly being used as sources of teaching and learning content. Textbooks come with barely a paragraph of terms and conditions about their use. The social media platforms, however, are accompanied by seemingly never-ending terms of service, community guidelines and privacy policies. Do you read this information, does anyone at your college? Do you understand the terms "takedown", "cease and desist"? Have you/your college ever received a "Getty letter"?
This webinar will provide an introduction to the convoluted world of copyright and social media terms and conditions. Buckle up - it could be a bumpy ride!
Presentation delivered by Alan Rae, Copyright Scotland, as part of the Virtual Bridge Session series.
Follow along at https://twitter.com/Virtual_Bridge and see what's coming up next at https://bit.ly/VBsessions
A brief introduction to the National Cyber Security Centre, what we’re doing for colleges’ cyber security and opening a conversation about what else we should be doing. We’ll cover a number of (free!) NCSC products and guidance that can really help raise individual colleges’ and universities’ cyber resilience that you may or may not be aware of, and talk about our future plans.
Presentation delivered by Hannah H., NCSC, as part of the Virtual Bridge Session series.
Follow along at https://twitter.com/Virtual_Bridge and see what's coming up next at https://bit.ly/VBsessions
For many managers, there is a real challenge both in managing remotely, and having confidence about the quality of remote or online delivery. Most managers have years of experience of managing campus based learning, and have had the benefit of peer and specialist support on site. However, few managers have the experience of teaching remotely, so supporting staff and recognising good delivery is a greater challenge. This session looks at adjustments to their management approach that may be helpful, and identifies some of the key characteristics of well delivered on line activity.
Presentation delivered by Dr John Laird, HMI, Education Scotland, as part of the Virtual Bridge Session series.
Follow along at https://twitter.com/Virtual_Bridge and see what's coming up next at https://bit.ly/VBsessions
This session is aimed at lecturers and managers in the sector with a clear focus on providing evidence-based research with pointers/tips for teaching face-to-face and online. We will also be talking about the forthcoming launch of the Pedagogy Matters podcast, which will feature interviews with key practitioners across the country to support effective delivery of the curriculum, as well as plans for future professional development materials and opportunities.
Presentation delivered by Jonny Rees, College Development Network, as part of the Virtual Bridge Session series.
Follow along at https://twitter.com/Virtual_Bridge and see what's coming up next at https://bit.ly/VBsessions
Recording available at: https://www.youtube.com/watch?v=otSVEp4YE8s
This document summarizes research on blended and digital learning. It finds that blended learning can be as effective as traditional learning, though some students may struggle more online. Research shows blended learning develops independence and skills beyond the classroom. However, teaching methods often rely more on lectures than interaction. Strong design, social connection, and teaching quality are keys to student success online. Sources offer further guidance on implementing blended models.
This session is aimed at managers with responsibility for the delivery and evaluation of online learning and teaching. As a result of the Covid-19 pandemic colleges have been forced to make an abrupt shift to remote learning, often existing in makeshift offices. Join us as we examine the challenges that this new environment presents and the lessons learned thus far from approaches developed in other UK nations and further afield.
We will share our thoughts on what leaders have learned about how to manage their institution during this difficult time and how they are addressing the challenges now and anticipating those in the future. Colleagues will be invited to join the discussion, raise questions and contribute examples from their own experience.
Presentation delivered by Ian Beach, HMI, Education Scotland, as part of the Virtual Bridge Session series.
Follow along at https://twitter.com/Virtual_Bridge and see what's coming up next at https://bit.ly/VBsessions
Recording available at: https://www.youtube.com/watch?v=kG0lCuRRX2U
Presentation delivered by Kellie Mote, accessibility specialist at Jisc, as part of a webinar in partnership with College Development Network (CDN), streamed on 20th February, 2020.
Presentation delivered by Simon Hewitt, Vice Principal (Curriculum & Attainment), Dundee & Angus College at the CDN MIS Network event on 21st November, 2019.
Presentation delivered by Jason Quinn, Assistant Principal: Planning and Infomatics, New College Lanarkshire at the CDN MIS Network event on 21st November, 2019.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Communicating effectively and consistently with students can help them feel at ease during their learning experience and provide the instructor with a communication trail to track the course's progress. This workshop will take you through constructing an engaging course container to facilitate effective communication.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!