VII Jornadas eMadrid "Education in exponential times".Felix Buendia: "Instructional perspective using Learning Analytics in Computer Science education". 05/07/2017.
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VII Jornadas eMadrid "Education in exponential times".Felix Buendia: "Instructional perspective using Learning Analytics in Computer Science education". 05/07/2017.
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VII Jornadas eMadrid "Education in exponential times".Felix Buendia: "Instructional perspective using Learning Analytics in Computer Science education". 05/07/2017.
- 1. Instructional perspective using Learning Analytics in Computer Science education Félix Buendía García, José Vte. Benlloch Dualde Universidad Politécnica de Valencia
- 2. Introduction Learning Analytics for Computer Science (CS) Education: Student logging and behavior analyzed in introductory programming courses Predictions of students’ performance based on data collected in their computing courses Metrics to quantify the rate of student errors and detect if he or she is struggling with important programming concepts Analysing the process data of students to introduce students' patterns of programming Main issue Computational aspects of learning analytics must be well integrated within the existing educational research (Gasevic, 2015) including the analysis of instructional conditions July 2017LASI Conference2
- 3. Introduction Current proposal Instructional perspective is introduced to match Educational issues present in different Computing teaching settings Collected data and learning analysis processes CS instructional conditions Strong practice lab component or problem-based approaches addressed in computing curricula Perspective close to students and lecturers who are not familiar with LA Practical and simple LA approach Formulate learning analytical questions about academic outcomes & get understandable answers back July 2017LASI Conference3
- 4. Related works The current work is focused on Data collection relevant for specific instructional methods in a Computing educational context Specific tools Addressed to Engineering Education LA (Conde-González & Hernandez García, 2016) Visualize Computer Science Teamwork (Tarmazdi et al, 2015) Importance of using more simple and intuitive tools to make LA accessible to a wide range of educators (Baker & Siemens, 2014) Use of generic tools such as Excel and Tableau July 2017LASI Conference4
- 5. Instructional perspective Instructional method Teaching activities Assessment Outcomes Direct instruction Presentation & Lecture Demonstration Problem-solving Quizzes / Exams Access to didactic resources/ classroom attendance list Interactive instruction Seminar / Debates / Case studies Formative feedback / classroom exercises Messages from students / classroom work tracking Experiential instruction Drill and practice / Hands-on lab tasks Assignment review / workout appraisal Assignment access and task submission Collaborative /cooperative learning Project elaboration stages /Project presentation Project templates / rubrics Access to project resources / submission of project deliveries July 2017LASI Conference5
- 6. Preliminary analytics Based on the connection of data sources and the use of visual analytic tools Excel Power View Tableau Software July 2017LASI Conference6 _xlcn#ddd_Hoja2A1F3461 ID usuario Nombre Recurso Acción Fecha Total
- 7. Case study CS subjects Computer Technology (CT) Operating System (OS) & Project Management (PM) July 2017LASI Conference7
- 8. Case study Poliformat platform Statistics tool Report generation What? When? Who? How? July 2017LASI Conference8
- 9. Results CT exam average grades July 2017LASI Conference9
- 10. Results CT correlation analysis July 2017LASI Conference10
- 11. Results OS correlation analysis July 2017LASI Conference11
- 12. Results PM course data July 2017LASI Conference12
- 13. Conclusions Instructional perspective about the use of learning analytics tools to combine collection of data sources linked to instructional outcomes simplicity to process and analyse these data sources The computing courses tested in this work show the potential of this perspective to deal with multiple types of instructional settings to collect and display learning information in a simple way Further works Systematic guide to assist computing educators in the process of featuring learning scenarios and their data sources July 2017LASI Conference13
- 14. Instructional perspective using Learning Analytics in Computer Science education Any question?
Editor's Notes
- My name is Félix Buendía and I’m a lecturer in the Computing school at UPV. I will present a work concerning an instructional perspective of learning analytics in the context of computing education courses.
- Let me start by introducing the role of learning analytics in a context of Computer Science (CS) Education that has focused mainly on programming courses Main issue: we have to take into account the educational context in which LA techniques are applied.
- Then, the current proposal is based on first, identifiy those educational features and instructional conditions in a computing teaching context and second, select data sources according to these features and conditions
- Lab notebook in gpr (mpp)
- Operating Systems with a strong practical component
- To finish my presentation I will conclude by remarking the high number and diversity of academic information sources that are involved in any kind of practical activities. We don’t have an institutional dashboard able to provide us LA measures so we have to build them