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Instructional perspective using
Learning Analytics in Computer
Science education
Félix Buendía García, José Vte. Benlloch ...
Introduction
 Learning Analytics for Computer Science (CS)
Education:
 Student logging and behavior analyzed in introduc...
Introduction
 Current proposal
 Instructional perspective is introduced to match
 Educational issues present in differe...
Related works
 The current work is focused on
 Data collection relevant for specific instructional methods
in a Computin...
Instructional perspective
Instructional
method
Teaching activities Assessment Outcomes
Direct
instruction
Presentation &
L...
Preliminary analytics
 Based on the connection of data sources and the
use of visual analytic tools
 Excel Power View
 ...
Case study
 CS subjects
 Computer Technology (CT)
 Operating System (OS) & Project Management (PM)
July 2017LASI Confer...
Case study
 Poliformat platform
 Statistics tool
 Report generation
 What?
 When?
 Who?
 How?
July 2017LASI Confere...
Results
 CT exam average grades
July 2017LASI Conference9
Results
 CT correlation analysis
July 2017LASI Conference10
Results
 OS correlation analysis
July 2017LASI Conference11
Results
 PM course data
July 2017LASI Conference12
Conclusions
 Instructional perspective about the use of learning
analytics tools to combine
 collection of data sources ...
Instructional perspective using Learning
Analytics in Computer Science education
Any question?
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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.

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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. 1. Instructional perspective using Learning Analytics in Computer Science education Félix Buendía García, José Vte. Benlloch Dualde Universidad Politécnica de Valencia
  2. 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. 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. 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. 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. 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. 7. Case study  CS subjects  Computer Technology (CT)  Operating System (OS) & Project Management (PM) July 2017LASI Conference7
  8. 8. Case study  Poliformat platform  Statistics tool  Report generation  What?  When?  Who?  How? July 2017LASI Conference8
  9. 9. Results  CT exam average grades July 2017LASI Conference9
  10. 10. Results  CT correlation analysis July 2017LASI Conference10
  11. 11. Results  OS correlation analysis July 2017LASI Conference11
  12. 12. Results  PM course data July 2017LASI Conference12
  13. 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. 14. Instructional perspective using Learning Analytics in Computer Science education Any question?

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