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Download full textAstuti, Budi; Purwanta, Edi; Ayriza, Yulia; Bhakti, Caraka Putra; Lestari, Rizqi; Herwin, Herwin – Cypriot Journal of Educational Sciences, 2022
This study aims to produce a school connectedness instrument for high school students in Yogyakarta. This research is quantitative and descriptive. The sample in this study was 526 high school students in Yogyakarta who had implemented online learning. The sampling technique used is simple random sampling. The data collection of this research was…
Descriptors: Foreign Countries, High School Students, Student School Relationship, COVID-19
Ma, Yijun; Agnihotri, Lalitha; Baker, Ryan; Mojarad, Shirin – International Educational Data Mining Society, 2016
Time has become a standard feature used in EDM models, and is used in models of meta-cognitive strategies to models of disengagement. Most of these models consider whether a student action is "too fast" or "too slow". However, an open question remains on how we define and select these cut-offs. Moreover, it is not clear that…
Descriptors: Difficulty Level, Reaction Time, Student Reaction, Academic Ability
Mahmud, Zamalia; Porter, Anne – Indonesian Mathematical Society Journal on Mathematics Education, 2015
Students' understanding of probability concepts have been investigated from various different perspectives. This study was set out to investigate perceived understanding of probability concepts of forty-four students from the STAT131 Understanding Uncertainty and Variation course at the University of Wollongong, NSW. Rasch measurement which is…
Descriptors: Probability, Concept Teaching, Item Response Theory, Computer Assisted Testing
Direct linkKortemeyer, Gerd – Physical Review Special Topics - Physics Education Research, 2014
Item response theory (IRT) becomes an increasingly important tool when analyzing "big data" gathered from online educational venues. However, the mechanism was originally developed in traditional exam settings, and several of its assumptions are infringed upon when deployed in the online realm. For a large-enrollment physics course for…
Descriptors: Item Response Theory, Online Courses, Electronic Learning, Homework
Wauters, Kelly; Desmet, Piet; Van Den Noortgate, Wim – Computers & Education, 2012
The evolution from static to dynamic electronic learning environments has stimulated the research on adaptive item sequencing. A prerequisite for adaptive item sequencing, in which the difficulty of the item is constantly matched to the ability level of the learner, is to have items with a known difficulty level. The difficulty level can be…
Descriptors: Expertise, Electronic Learning, Feedback (Response), Sample Size
Salahli, Mehmet Ali; Özdemir, Muzaffer; Yasar, Cumali – International Education Studies, 2013
One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…
Descriptors: Individualized Instruction, Electronic Learning, Educational Technology, Profiles
