The document discusses the importance of faculty status and tenure for academic librarians, arguing that only these guarantees fully integrate librarians into university governance and academics. It references a 2006 article that discusses loosening ties that previously bound academic librarians, suggesting tenure provides more independence.
Research in to Practice: Building and implementing learning analytics at TribalLACE Project
Keynote by Chris Ballard, Data Scientist, Tribal, given at the LACE SoLAR Flare event held at The Open University, Milton Keynes, UK on 9 October 2015. #LACEflare
Research in to Practice: Building and implementing learning analytics at TribalLACE Project
Keynote by Chris Ballard, Data Scientist, Tribal, given at the LACE SoLAR Flare event held at The Open University, Milton Keynes, UK on 9 October 2015. #LACEflare
Co-developing bespoke, enterprise-scale analytics systems with teaching staffDanny Liu
Presentation at the NSW Learning Analytics Working Group meeting, 3 February 2016, at the University of Technology, Sydney. Covering projects from Macquarie University and the University of Sydney.
Learning Analytics: Seeking new insights from educational dataAndrew Deacon
CPUT Fundani TWT - 22 May 2014
Analytics is a buzzword that encompasses the analysis and visualisation of big data. Current interest results from the growing access to data and the many software tools now available to analyse this data in Higher Education, through platforms such as Learning Management Systems. This seminar provides an overview of current applications and uses of learning analytics and how it can help institutions of learning better support their learners. The illustrative examples look at institutional and social media data that together provide rich insights into institutional, teaching and learning issues. A few simple ways to perform such analytics in a context of Higher Education will be introduced.
TEL Recommender systems have been used to improve experiences of students or teachers. Many such systems use information about students, such as interests, preferences, and demographic data. They also use resource metadata and ratings. The authors of this paper think that recommender systems are also valuable when implemented in online or blended courses using competence?based assessment since these systems can take advantage of social knowledge about competence development, and students? performance. By using collaborative filtering and knowledge?based techniques, it is possible to obtain recommendations from social knowledge and adapt the former to each student?s performance. In this paper, the authors propose a system to recommend activities and resources that help students in achieving competence levels throughout an online or blended course. This recommender system takes into consideration experiences previously stored and ranked by former students. In order to offer successful learning advice, this recommender system analyzes the student?s current competence levels against similar former students? performances. Functional test results indicate that the proposed technical approach is accurate. Moreover, these results seem to reflect that social knowledge and students' qualifications are sources of valuable recommendations for online and blended courses.
A Pulse of Predictive Analytics In Higher Education │ Civitas LearningCivitas Learning
Civitas Learning presents the findings of our survey conducted during the September 2014 Civitas Learning Summit, where more than 100 leaders representing 40 Pioneer Partner institutions gathered to share more on their work. The survey, distributed to all participants, resulted in 74 responses highlighting how this cross-section of higher education institutions are using advanced analytics to power student success initiatives.
Advances in Learning Analytics and Educational Data Mining MehrnooshV
This presentation is about the state-of-the-art of Learning Analytics and Edicational Data Mining. It is presented by Mehrnoosh Vahdat as the introductory tutorial of Special Session 'Advances in Learning Analytics and Educational Data Mining' at ESANN 2015 conference.
Using learning analytics to improve student transition into and support throu...Tinne De Laet
Presentation supporting the ABLE and STELA workshop titled "Using learning analytics to improve student transition into and support throughout the 1st year" delivered at the EFYE 2016 conference in Gent, Belgium
Educational Data Mining in Program Evaluation: Lessons LearnedKerry Rice
AET 2016 Researchers present findings from a series of data mining studies, primarily examining data mining as part of an innovative triangulated approach in program evaluation. Findings suggest that is it possible to apply EDM techniques in online and blended learning classrooms to identify key variables important to the success of learners. Lessons learned will be shared as well as areas for improving data collection in learning management systems for meaningful analysis and visualization.
DESCRIPTION:
Learning analytics is at a critical juncture in its lifecycle. To date, much of the learning analytics-related research, software development, and standards work that exists has taken place in relative isolation. This lack of collaboration, openness, and integrated systems greatly limits the
potential of learning analytics. LA initiatives have typically been dependent upon “closed” systems, proprietary data models and single use tools – as opposed to an integrated software suite for analyzing and communicating data on learning processes.
As institutions begin to move past discussion and into implementation of learning analytics environments, the realization of an open source platform for learning analytics becomes increasingly important as an option for institutions to consider alongside commercial offerings. In this presentation, learning analytics practitioners Josh Baron, Sandeep Jayaprakash and Alan Berg discuss a strategic vision of an open source platform, including standards, systems, and tools, that can lower the barrier to entry for institutions looking to get started with learning analytics.
There will be a short demo of current components of the platform as well as details on accessing/contributing to the open-source code repository and how to get more involved in the Apereo LAI.
Classification Technique for Predicting Learning Behavior of Student in Highe...ijtsrd
In education system it is very important to decide learning behavior of students. Today there is huge competition in higher educational institutes. Quality education is essential for facing new educational challenges. Educational Data Mining is useful to classify students according to their knowledge and learning behavior. It helps teachers to implement different teaching methodology as per learning behavior of student. Researcher used Naïve Bayes classification technique on training data set of students. Classification is a supervised learning approach which categorized data into predefined classes. The implementation is carried out using C . Algorithm is implemented on set of multivalued attributes to predict slow learner, average learner and fast learner students. The objective of researcher is to extract hidden knowledge from dataset for prediction of learning behavior of student. Mrs. Varsha. P. Desai "Classification Technique for Predicting Learning Behavior of Student in Higher Education" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Digital Economy and its Impact on Business and Industry , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18697.pdf
http://www.ijtsrd.com/management/business-economics/18697/classification-technique-for-predicting-learning-behavior-of-student-in-higher-education/mrs-varsha-p-desai
Personalized Online Practice Systems for Learning ProgrammingPeter Brusilovsky
Computer programming is quickly transitioning from being just a key competency in computer and information science majors to being a desired skill for students in a wide range of fields. Yet, it is also one of the most challenging subjects to learn. While learning by doing is a critical component in mastering programming skills, neither the traditional educational process nor standard learning support tools provide sufficient opportunities for programming practice. In this talk, I will present our research on personalized programming practice systems for Java, Python, and SQL, which attempt to bridge this known gap in learning programming. A programming practice system engages students in practicing programming skills beyond a relatively small number of graded assignments and exams. To support learning by doing, an online practice system offers a range of interactive “smart content” such as program animations, worked examples, and various kinds of programming problems with an automatic assessment. The main challenges for online practice systems are to motivate students to practice and to guide them to the most appropriate smart content given their course goals and knowledge levels. In this talk, I will review a range of AI technologies, such as student modeling, navigation support, social comparison, and content recommendation, which support efficient programming practice. I will also discuss how personalized practice system could support COVID-19-influenced switch to online learning while maintaining an extensive level of feedback expected from an efficient learning process.
Co-developing bespoke, enterprise-scale analytics systems with teaching staffDanny Liu
Presentation at the NSW Learning Analytics Working Group meeting, 3 February 2016, at the University of Technology, Sydney. Covering projects from Macquarie University and the University of Sydney.
Learning Analytics: Seeking new insights from educational dataAndrew Deacon
CPUT Fundani TWT - 22 May 2014
Analytics is a buzzword that encompasses the analysis and visualisation of big data. Current interest results from the growing access to data and the many software tools now available to analyse this data in Higher Education, through platforms such as Learning Management Systems. This seminar provides an overview of current applications and uses of learning analytics and how it can help institutions of learning better support their learners. The illustrative examples look at institutional and social media data that together provide rich insights into institutional, teaching and learning issues. A few simple ways to perform such analytics in a context of Higher Education will be introduced.
TEL Recommender systems have been used to improve experiences of students or teachers. Many such systems use information about students, such as interests, preferences, and demographic data. They also use resource metadata and ratings. The authors of this paper think that recommender systems are also valuable when implemented in online or blended courses using competence?based assessment since these systems can take advantage of social knowledge about competence development, and students? performance. By using collaborative filtering and knowledge?based techniques, it is possible to obtain recommendations from social knowledge and adapt the former to each student?s performance. In this paper, the authors propose a system to recommend activities and resources that help students in achieving competence levels throughout an online or blended course. This recommender system takes into consideration experiences previously stored and ranked by former students. In order to offer successful learning advice, this recommender system analyzes the student?s current competence levels against similar former students? performances. Functional test results indicate that the proposed technical approach is accurate. Moreover, these results seem to reflect that social knowledge and students' qualifications are sources of valuable recommendations for online and blended courses.
A Pulse of Predictive Analytics In Higher Education │ Civitas LearningCivitas Learning
Civitas Learning presents the findings of our survey conducted during the September 2014 Civitas Learning Summit, where more than 100 leaders representing 40 Pioneer Partner institutions gathered to share more on their work. The survey, distributed to all participants, resulted in 74 responses highlighting how this cross-section of higher education institutions are using advanced analytics to power student success initiatives.
Advances in Learning Analytics and Educational Data Mining MehrnooshV
This presentation is about the state-of-the-art of Learning Analytics and Edicational Data Mining. It is presented by Mehrnoosh Vahdat as the introductory tutorial of Special Session 'Advances in Learning Analytics and Educational Data Mining' at ESANN 2015 conference.
Using learning analytics to improve student transition into and support throu...Tinne De Laet
Presentation supporting the ABLE and STELA workshop titled "Using learning analytics to improve student transition into and support throughout the 1st year" delivered at the EFYE 2016 conference in Gent, Belgium
Educational Data Mining in Program Evaluation: Lessons LearnedKerry Rice
AET 2016 Researchers present findings from a series of data mining studies, primarily examining data mining as part of an innovative triangulated approach in program evaluation. Findings suggest that is it possible to apply EDM techniques in online and blended learning classrooms to identify key variables important to the success of learners. Lessons learned will be shared as well as areas for improving data collection in learning management systems for meaningful analysis and visualization.
DESCRIPTION:
Learning analytics is at a critical juncture in its lifecycle. To date, much of the learning analytics-related research, software development, and standards work that exists has taken place in relative isolation. This lack of collaboration, openness, and integrated systems greatly limits the
potential of learning analytics. LA initiatives have typically been dependent upon “closed” systems, proprietary data models and single use tools – as opposed to an integrated software suite for analyzing and communicating data on learning processes.
As institutions begin to move past discussion and into implementation of learning analytics environments, the realization of an open source platform for learning analytics becomes increasingly important as an option for institutions to consider alongside commercial offerings. In this presentation, learning analytics practitioners Josh Baron, Sandeep Jayaprakash and Alan Berg discuss a strategic vision of an open source platform, including standards, systems, and tools, that can lower the barrier to entry for institutions looking to get started with learning analytics.
There will be a short demo of current components of the platform as well as details on accessing/contributing to the open-source code repository and how to get more involved in the Apereo LAI.
Classification Technique for Predicting Learning Behavior of Student in Highe...ijtsrd
In education system it is very important to decide learning behavior of students. Today there is huge competition in higher educational institutes. Quality education is essential for facing new educational challenges. Educational Data Mining is useful to classify students according to their knowledge and learning behavior. It helps teachers to implement different teaching methodology as per learning behavior of student. Researcher used Naïve Bayes classification technique on training data set of students. Classification is a supervised learning approach which categorized data into predefined classes. The implementation is carried out using C . Algorithm is implemented on set of multivalued attributes to predict slow learner, average learner and fast learner students. The objective of researcher is to extract hidden knowledge from dataset for prediction of learning behavior of student. Mrs. Varsha. P. Desai "Classification Technique for Predicting Learning Behavior of Student in Higher Education" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Digital Economy and its Impact on Business and Industry , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18697.pdf
http://www.ijtsrd.com/management/business-economics/18697/classification-technique-for-predicting-learning-behavior-of-student-in-higher-education/mrs-varsha-p-desai
Personalized Online Practice Systems for Learning ProgrammingPeter Brusilovsky
Computer programming is quickly transitioning from being just a key competency in computer and information science majors to being a desired skill for students in a wide range of fields. Yet, it is also one of the most challenging subjects to learn. While learning by doing is a critical component in mastering programming skills, neither the traditional educational process nor standard learning support tools provide sufficient opportunities for programming practice. In this talk, I will present our research on personalized programming practice systems for Java, Python, and SQL, which attempt to bridge this known gap in learning programming. A programming practice system engages students in practicing programming skills beyond a relatively small number of graded assignments and exams. To support learning by doing, an online practice system offers a range of interactive “smart content” such as program animations, worked examples, and various kinds of programming problems with an automatic assessment. The main challenges for online practice systems are to motivate students to practice and to guide them to the most appropriate smart content given their course goals and knowledge levels. In this talk, I will review a range of AI technologies, such as student modeling, navigation support, social comparison, and content recommendation, which support efficient programming practice. I will also discuss how personalized practice system could support COVID-19-influenced switch to online learning while maintaining an extensive level of feedback expected from an efficient learning process.
Presentation for Internet Librarian 2008 by Kevin Roddy and Margot Hanson. Highlights the University of Hawaii online information literacy tutorial and its uses for infolit assessment.
Negotiating meaning, negotiating place: Peer learning and student participati...Keith Kirkwood
Presentation for the 6th Canadian Learning Commons Conference, May 7-9, Calgary Alberta, about peer mentoring programs in the learning commons of Victoria University in Melbourne Australia.
Changing role of faculty librarians in open accessIryna Kuchma
How faculty librarians could contribute to open access awareness raising and advocacy, provide support and training for researchers and students on changing scholarly communication landscape
This Talk was given by Dr. Sangeeta Dhamdhere, Librarian, PES Modern College of Arts, Science and Commerce, Ganeshkhind, Pune at the State Level Webinar Conducted by the VSPM Academy of Higher Education's Arvindbabu Deshmukh College, Nagpur and Cluster of Thirteen Institutions (CoTI) on 22nd April 2022.
Information literacy, e-learning and the changing role of the librarianJane Secker
Lecture given at the iSchool on 13th March as part of the academic libraries module. Focusing on information literacy, digital literacy, ANCIL, e-learning and collaboration between librarians and learning technologists
Developing sustainable staff development for online teachers: What works and ...RichardM_Walker
The Covid-19 pandemic has underlined the importance of online teaching within higher education and provided further encouragement to institutions to develop their fully online course provision - a trend which has been gathering pace over recent years. It has challenged universities and colleges to think about how they support their faculty in developing the competencies and strategies to teach effectively online.
Looking to the future, how do we support the continuous professional learning and development (CPLD) of online instructors, addressing the needs of both new and more experienced online practitioners, with equal attention to their pedagogical knowledge and technical skills development? What works and why within an online teaching context? In this presentation we will present a CPLD model that provides an overview of the different sources of learning development that are available to online instructors - both within and outside the teaching institution – and how they are interrelated and interconnected as part of a wider ecology of CPLD support to staff. We explain how these different sources of support may be combined to support personalised learning development pathways in online teaching practice, drawing on illustrations of evidence-based CPLD practices from staff developers and academics from across the world (Forbes & Walker, 2022).
Cultivating TALint: Using the Core Competencies as a framework for training f...NASIG
In 2014, the University of Toronto’s Faculty of Information and the University of Toronto Libraries (UTL) partnered in the development of the TALint (Toronto Academic Libraries Internship) program. Focused on workplace-integrated-learning (W-I-L), the TALint program provides enhanced educational experiences for Masters of Information students by combining periods of in-class study with actual workplace experiences. The two-year program is intended to enhance the quality of student learning by providing interns with specialized knowledge and practical skills, professional development and mentorship opportunities. It is often the case that the workplace is ahead of academic programs. This is particularly true in technical services and the field of electronic resource management, where the requisite knowledge and practical skills required to perform these roles has traditionally been under-represented within library and information studies curricula. The TALint program has provided UTL with the unique opportunity to bridge the gap between the expertise developed through information studies programs and the specific knowledge and skills required to take on roles as electronic resource librarians. With this year’s TALint cohort in UTL’s Metadata Technologies Team, we are using NASIG’s Core Competencies for Electronic Resources Librarians as a framework for training our two TALint interns. In this session, presenters will discuss the development of a comprehensive student training plan in electronic resource management, the ongoing assessment of learning outcomes, student perceptions of competency-based training, and the benefits of using the Core Competencies that have been felt beyond the internship program. We will share how this training plan can better equip Masters of Information students for careers in electronic resource management by producing graduates who are qualified, technologically skilled and workplace-ready.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
2. “…only faculty status and tenure guarantee
full integration in the university’s
governance and academic spheres.”
Welch, Jeanie M. & Frada Mozenter. 2006. Loosening the
ties that bind: Academic librarians and tenure. C&RL (March):
164.
LIS 665 Teaching Information Technology Literacy Nahl 2013 2
3. Association of College and Research Libraries
Joint Statement on Faculty Status of College and
University Librarians
http://www.ala.org/ala/mgrps/divs/acrl/standards/jointstatementfac
“Librarians perform a teaching and research role
inasmuch as they instruct students formally and
informally and advise and assist faculty in their
scholarly pursuits. Librarians are also themselves
involved in the research function; many conduct
research in their own professional interests and in
the discharge of their duties.”
LIS 665 Teaching Information Technology Literacy Nahl 2013 3
4. Association of College and Research Libraries
Standards for Faculty Status for College and
University Librarians (2007; revised 2011)http
://www.ala.org/ala/mgrps/divs/acrl/standards/standardsfaculty.cfm
“The academic librarian makes unique contributions to
the academic community and to higher education
itself. … developing collections … providing
bibliographic access to print and online library
materials… interpreting these materials to
members... instruction in the use of resources …
creation of new tools to enhance access to
information available locally, regionally, nationally, or
internationally.”
LIS 665 Teaching Information Technology Literacy Nahl 2013 4
5. Guidelines for Academic Librarians Without Faculty Status
(2011)
http://www.ala.org/ala/mgrps/divs/acrl/standards/guidelinesacade
A Guideline for the Appointment, Promotion and Tenure of
Academic Librarians (2005; 2010)
http://www.ala.org/ala/mgrps/divs/acrl/standards/promotiontenure
Standards for Proficiencies for Instruction Librarians and
Coordinators (2007)
http://www.ala.org/ala/mgrps/divs/acrl/standards/profstandards.cf
Collective Bargaining, Guideline on (reaffirmed 2008)
http://www.ala.org/ala/mgrps/divs/acrl/standards/guidelinecollectiv
LIS 665 Teaching Information Technology Literacy Nahl 2013 5
6. The policy of the Association of College and
Research Libraries is that academic librarians
shall be included on the same basis as their
faculty colleagues in units for collective
bargaining. Such units shall be guided by the
standards and guidelines of ACRL pertaining
to faculty and academic status.
LIS 665 Teaching Information Technology Literacy Nahl 2013 6
7. "When teaching is part of the faculty
assignment, effectiveness is an essential
criterion for advancement. Faculty must
demonstrate command of their subject
matter, continuous growth in the subject
field, and an ability to create and maintain
instructional environments to promote
student learning.”
Indiana State University
LIS 665 Teaching Information Technology Literacy Nahl 2013 7
8. The academic librarian faces a unique range
of changing duties and responsibilities that
are often inappropriately documented. The
development of a portfolio that creates a
record of evidence-based librarianship,
scholarship, and service can solve this issue
for librarians as they prepare for promotion or
continuing appointment.
http://libguides.usc.edu/content.php?pid=217806&sid=1810070
LIS 665 Teaching Information Technology Literacy Nahl 2013 8
9. A tool used to document and present evidence for
the scope and quality of professional development
in research, scholarship, service and teaching
› Noteworthy accomplishments
› Library institutional roles
› College or University institutional roles
› State and National professional roles
› International professional roles
LIS 665 Teaching Information Technology Literacy Nahl 2013 9
10. Institution Mission and Library Mission, Teaching
Philosophy, and ACRL IL Standards
› SLOs
› Assessment methods
Student ratings and evaluations of teaching
Teaching materials
Forms of assessment
Evidence of student learning
Peer evaluations and faculty support letters
LIS 665 Teaching Information Technology Literacy Nahl 2013 10
11. Collaboration with discipline faculty
Involvement on campus committees: college curriculum, UG
core reform, accreditation, service courses, distance
learning, etc.
Involvement in campus assessment initiatives (SLOs)
Published research on teaching and learning
Conference presentations on teaching and learning
Pedagogical innovation, new methods
Development of teaching materials, modules, and courses
Involvement in undergraduate student research
Mentoring new instruction librarians
Contributions to professional organizations that aim to
improve teaching
LIS 665 Teaching Information Technology Literacy Nahl 2013 11
12. USC LibGuides Academic Librarian Portfolios
(2011)
http://libguides.usc.edu/content.php?pid=217806&sid
Includes online resources, criteria, and references,
updated frequently
LIS 665 Teaching Information Technology Literacy Nahl 2013 12
13. UHM Annual Contract Renewal Instructions
› http://manoa.hawaii.edu/ovcaa/faculty/tenure_promotion
Professional record keeping: Curriculum Vitae
Daily Calendar
Annual file
Systematically request letters and email
acknowledgements
LIS 665 Teaching Information Technology Literacy Nahl 2013 13
14. Held annually (attend soon after hire)
Explain the many steps in the process
Show examples of “successful” dossiers
› Borrow dossiers from the Center for Teaching
Excellence in Kuykendall (soon after hire)
Allow for questions to administrators
LIS 665 Teaching Information Technology Literacy Nahl 2013 14
15. Synthesis of annual contract renewals
Professional contributions (local and
national, and international)
Future value to the institution
Communicating to the Library Personnel
Committee (LPC)
Communicating to non-librarian faculty, e.g.,
the Dean, Provost or Chancellor and TPRC
(Tenure & Promotion Committee)
LIS 665 Teaching Information Technology Literacy Nahl 2013 15
17. Areas of specialization include (one or two of these):
I.Collection Development
II.Bibliographic Control
III.Public and Reference services
IV.Instructional Services
V.Administration and Management
VI.Information Technology
LIS 665 Teaching Information Technology Literacy Nahl 2013 17
18. Requirements for each rank
(Librarian II-
V)http://manoa.hawaii.edu/ovcaa/faculty/
tenure_promotion_contract_renewal/pdf/
2011-2012_criteria_guidelines.pdf
Promotion Criteria for Librarian Faculty,
pp. 13-14
LIS 665 Teaching Information Technology Literacy Nahl 2013 18
19. University of Hawaii Professional
Assembly UHPA
Collective Bargaining Contract
› http://www.uhpa.org/
› http://www.uhpa.org/uhpa-bor-contract
Salary Research
› http://uhpa.org/salary-research
LIS 665 Teaching Information Technology Literacy Nahl 2013 19
20. Minimum Median Maximum
UHH $50,004 $55,644 $65,136
UHM $50,004 $52,685 $57,840
UHM Hawaiian Knowledge $55,800
UHM Medicine $58,080
UHWO $50,004 $51,672
$55,008
LIS 665 Teaching Information Technology Literacy Nahl 2013 20
21. Librarian colleague mentoring
› Formal or informal
Faculty Mentoring Group
› Tenured faculty advisors in other disciplines
› Presentations on norms for contract renewals,
tenure and promotion process, what to avoid,
what not to avoid, who to know and who to
ask for assistance, how to explain your work
to non-librarians
LIS 665 Teaching Information Technology Literacy Nahl 2013 21
22. Sounding board for concerns
Reality check in uncertain situations
Reviewing and editing your contract
renewal and tenure/promotion documents
Friend, coach, advisor and guide in the
academic environment
LIS 665 Teaching Information Technology Literacy Nahl 2013 22
23. Read the description & highlight or extract:
1.MQs (minimum) & DQs (preferred)
2.Technology Skills/Experience
3.Instruction Skills/Experience
4.Instructional Design Skills
5.Strategic Planning Skills
6.ACS Skills
7.Salary range
8.Indicate how you would respond to the
MQs and DQs for Instructor rank
LIS 665 Teaching Information Technology Literacy Nahl 2013 23
LIS 665 Teaching Information Technology Literacy Presentation of professional self
LIS 665 Teaching Information Technology Literacy Keep statistics on how long you spend on activities (activity reports, workload statistics), how frequently you do things, numbers of students taught by semester and year, number of professors requests and partnerships you participated in Get evaluations all the time and analyze them Save letters, emails thanking you or making note of something you contributed to Keep a chronological file, then use it to write your contract renewal. Keep every contract renewal you write, then use them to construct your tenure dossier (copy paste)
LIS 665 Teaching Information Technology Literacy Keep statistics on how long you spend on activities (activity reports, workload statistics), how frequently you do things, numbers of students taught by semester and year, number of professors requests and partnerships you participated in Get evaluations all the time and analyze them Save letters, emails thanking you or making note of something you contributed to Keep a chronological file, then use it to write your contract renewal. Keep every contract renewal you write, then use them to construct your tenure dossier (copy paste)
LIS 665 Teaching Information Technology Literacy Keep statistics on how long you spend on activities (activity reports, workload statistics), how frequently you do things, numbers of students taught by semester and year, number of professors requests and partnerships you participated in Get evaluations all the time and analyze them Save letters, emails thanking you or making note of something you contributed to Keep a chronological file, then use it to write your contract renewal. Keep every contract renewal you write, then use them to construct your tenure dossier (copy paste)
LIS 665 Teaching Information Technology Literacy Keep statistics on how long you spend on activities (activity reports, workload statistics), how frequently you do things, numbers of students taught by semester and year, number of professors requests and partnerships you participated in Get evaluations all the time and analyze them Save letters, emails thanking you or making note of something you contributed to Keep a chronological file, then use it to write your contract renewal. Keep every contract renewal you write, then use them to construct your tenure dossier (copy paste)
LIS 665 Teaching Information Technology Literacy Three requirements for faculty endeavors: teaching, research, service
LIS 665 Teaching Information Technology Literacy Document for our activity reports and as supporting documentation for promotion Document teaching activities beyond what is in the vita The portfolio is a nice way to document the hard work of teaching as well as the quality of instruction and not just the numbers about quantity. Web pages and other resources you create for classes Sample assignments Model papers/assigs Letters from academic faculty in support of your teaching Pre-post testing results
LIS 665 Teaching Information Technology Literacy Document for our activity reports and as supporting documentation for promotion Document teaching activities beyond what is in the vita The portfolio is a nice way to document the hard work of teaching as well as the quality of instruction and not just the numbers about quantity. Web pages and other resources you create for classes Sample assignments Model papers/assigs Letters from academic faculty in support of your teaching Pre-post testing results
LIS 665 Teaching Information Technology Literacy
LIS 665 Teaching Information Technology Literacy
LIS 665 Teaching Information Technology Literacy Keep statistics on how long you spend on activities (activity reports, workload statistics), how frequently you do things, numbers of students taught by semester and year, number of professors requests and partnerships you participated in Get evaluations all the time and analyze them Save letters, emails thanking you or making note of something you contributed to Keep a chronological file, then use it to write your contract renewal. Keep every contract renewal you write, then use them to construct your tenure dossier (copy paste)
LIS 665 Teaching Information Technology Literacy Go to these beginning in your second year, go every year until you apply Allow two months to write and edit it, including other readers Timeline is October 18 to June or July for announcement of results
LIS 665 Teaching Information Technology Literacy Annual renewal documents assist you in creating a thorough dossier that comprehensively describes your efforts, activities, and productivity Exclusion list (people who cannot serve on your TPRC) LPC has a more detailed set of criteria you must address in your dossier Relate to institutional mission, goals, objectives and how you support those Explain what you do and how it relates to the faculty and students. They have little or no idea, so let faculty see into your complex information world of service to them. Translate jargon if you need to use it.
LIS 665 Teaching Information Technology Literacy Outside reviewers are necessary (5-6) not at UH Contact them months in advance, but don ’t advertise it Who know your work, but have not worked personally with you Contributions to the profession, standards, methods, techniques,
LIS 665 Teaching Information Technology Literacy II-->III 24 post-ba credits in another field, 4 years experience at II III-->IV second master ’s, 4 years experience at III IV-->V Ph.D., leadership, supervision, 4 years experience at IV
LIS 665 Teaching Information Technology Literacy The contract is negotiated every two or three years Sometimes faculty have to strike to get a contract
LIS 665 Teaching Information Technology Literacy Networking on campus Other faculty as resources
LIS 665 Teaching Information Technology Literacy Help you do long/short term planning Monitor progress Take you out for lunch, off campus Sharing and introducing outside interests