Education Commons^™

Can Engagement Be Compared? Measuring Academic Engagement For Comparison, Ling Tan, Xiaoxun Sun, Siek Toon Khoo

Dr Siek Toon Khoo

Student engagement is a reflection of active involvement in learning. In digital learning environment, research studies on engagement have been focused on detecting behavioral and psychological engagement indicators from the patterns of activities using feature engineering, but student engagement estimates were rarely compared across sessions or across domains of learning. This paper describes how this could be done by revisiting engagement instrument, diagnosing engagement indicators, estimating engagement parameters, and equating. This study illustrates how engagement reliability can be improved by refining engagement indictors. We demonstrated through DataShop data that student engagement levels can be compared across domains of learning.

Icils At A Glance: Highlights From The Full Australian Report – Australian Students’ Readiness For Study, Work And Life In The Digital Age, Lisa De Bortoli, Sarah Buckley, Catherine Underwood, Elizabeth O'Grady, Eveline Gebhardt

Dr Sarah Buckley

The International Computer and Information Literacy Study (ICILS) is the first international comparative study that examines students’ acquisition of computer and information literacy: ‘the ability to use computers to investigate, create and communicate in order to participate effectively at home, at school, in the workplace and in society'. This publication includes highlights from the full Australian report called ICILS 2013: Australian students’ readiness for study, work and life in the digital age which is available for download from http://research.acer.edu.au/ict_literacy/6/

Icils At A Glance: Highlights From The Full Australian Report – Australian Students’ Readiness For Study, Work And Life In The Digital Age, Lisa De Bortoli, Sarah Buckley, Catherine Underwood, Elizabeth O'Grady, Eveline Gebhardt

Lisa De Bortoli

Can Engagement Be Compared? Measuring Academic Engagement For Comparison, Ling Tan, Xiaoxun Sun, Siek Toon Khoo

Dr Siek Toon Khoo

Student engagement is a reflection of active involvement in learning. In digital learning environment, research studies on engagement have been focused on detecting behavioral and psychological engagement indicators from the patterns of activities using feature engineering, but student engagement estimates were rarely compared across sessions or across domains of learning. This paper describes how this could be done by revisiting engagement instrument, diagnosing engagement indicators, estimating engagement parameters, and equating. This study illustrates how engagement reliability can be improved by refining engagement indictors. We demonstrated through DataShop data that student engagement levels can be compared across domains of learning.

Can Engagement Be Compared? Measuring Academic Engagement For Comparison, Ling Tan, Xiaoxun Sun, Siek Toon Khoo

Dr Xiaoxun Sun

Student engagement is a reflection of active involvement in learning. In digital learning environment, research studies on engagement have been focused on detecting behavioral and psychological engagement indicators from the patterns of activities using feature engineering, but student engagement estimates were rarely compared across sessions or across domains of learning. This paper describes how this could be done by revisiting engagement instrument, diagnosing engagement indicators, estimating engagement parameters, and equating. This study illustrates how engagement reliability can be improved by refining engagement indictors. We demonstrated through DataShop data that student engagement levels can be compared across domains of learning.

Can Engagement Be Compared? Measuring Academic Engagement For Comparison, Ling Tan, Xiaoxun Sun, Siek Toon Khoo

Dr Ling Tan

Student engagement is a reflection of active involvement in learning. In digital learning environment, research studies on engagement have been focused on detecting behavioral and psychological engagement indicators from the patterns of activities using feature engineering, but student engagement estimates were rarely compared across sessions or across domains of learning. This paper describes how this could be done by revisiting engagement instrument, diagnosing engagement indicators, estimating engagement parameters, and equating. This study illustrates how engagement reliability can be improved by refining engagement indictors. We demonstrated through DataShop data that student engagement levels can be compared across domains of learning.

Mental Health Of University Students: Perspectives For Intervention And Prevention: An Indo-Canadian Collaborative Project, Amresh Srivastava, Rahel Eynan, Ravi Shah, Laxaman Dutt, Shubhangi Parkar, Tss Rao, Dp Giridhar, Rakesh Bhandari, Nagesh Bhandari, Paul Link

Amresh Srivastava

Purpose: The study aimed to determine the levels of psychological distress of university students and examine teachers’ awareness and opinions concerning suicide prevention. Methods: The study used a two-phase, sequential mixed-method approach of converging quantitative and qualitative methodologies. In the quantitative study the 1a2-item General Health Questionnaire (GHQ-12) was used to measure psychological wellbeing in a student sample ( n=110 ). The qualitative study consisted of a focus group with students (n=200) and faculty members. (n=25). Results: The scores for the sample ranged between 0- 33 with a mean score of 10.25 (SD= 6.14). The majority of respondents (70.6%) endorsed …

What’S The Story? Making Sense Of Conflicting Literacy And Numeracy Results, Juliette Mendelovits

Juliette Mendelovits

No abstract provided.

Reading Between The Lines. What’S The Story With Reading Literacy? Where To Next?, Sue Thomson

Dr Sue Thomson

No abstract provided.