NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Pastushenkov, Dmitrii; Camp, Cameron; Zhuchenko, Iryna; Pavlenko, Olesia – TESOL Journal, 2021
In this study, the researchers investigated the effects of shared and different first language (L1) background, L1 use amounts, and peer familiarity on the frequency of language-related episodes (LREs) and task scores in interactive pair work. By exploring these variables in distinct interactions, the authors attempted to obtain a more…
Descriptors: Native Language, Second Language Learning, English (Second Language), Task Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Hahnel, Carolin; Goldhammer, Frank; Kroehne, Ulf; Mahlow, Nina; Artelt, Cordula; Schoor, Cornelia – Studies in Higher Education, 2021
The study investigates automated and controlled cognitive processes that occur when university students read multiple documents (MDs). We examined data of 401 students dealing with two MD sets in a digital environment. Performance was assessed through several comprehension questions. Recorded log data gave indications about students' time…
Descriptors: Automation, Reading Comprehension, Cognitive Processes, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Fukuzawa, Ryoko; Joho, Hideo; Maeshiro, Tetsuya – Education for Information, 2015
This paper reports the results of a survey that investigated the practice and experience of task management of university students. A total of 202 tasks identified by 24 university students were analyzed. The results suggest that participants had a reasonable sense of priority of tasks, that they tend to perceive a task as a big chunk, not a…
Descriptors: College Students, Task Analysis, Self Management, Needs Assessment
Peer reviewed Peer reviewed
Direct linkDirect link
Kononova, Anastasia G.; Yuan, Shupei – Journalism and Mass Communication Educator, 2017
A survey (N = 524) examined how frequently college students engage in multitasking with social media, texting/instant messaging (IM), and music while studying/working and what motivates them to multitask with each medium. Four out of five participants multitasked with Facebook and texting/IM, and two out of three multitasked with music. Habit was…
Descriptors: College Students, Task Analysis, Student Motivation, Learning Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Judd, Terry – Australasian Journal of Educational Technology, 2015
Detailed logs of students' computer use, during independent study sessions, were captured in an open-access computer laboratory. Each log consisted of a chronological sequence of tasks representing either the application or the Internet domain displayed in the workstation's active window. Each task was classified using a three-tier schema…
Descriptors: Foreign Countries, Independent Study, Time Management, Executive Function
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Park, Minsoo – Information Research: An International Electronic Journal, 2013
Introduction: This study aims to understand the interactions of perception, effort, emotion, time and performance during the performance of multiple information tasks using Web information technologies. Method: Twenty volunteers from a university participated in this study. Questionnaires were used to obtain general background information and…
Descriptors: Web 2.0 Technologies, Man Machine Systems, Computer Interfaces, Difficulty Level
Peer reviewed Peer reviewed
Ferrari, Joseph R.; Scher, Steven J. – Psychology in the Schools, 2000
Examines procrastination by college students (30 women, 7 men) of academic and nonacademic tasks at beginning and end of semester. Analysis found that procrastinated tasks early in the term were more effortful and anxiety provoking than other tasks during the term. Results imply that academic and nonacademic tasks should be challenging, yet fun,…
Descriptors: Academic Ability, Assignments, College Students, Higher Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Ansburg, Pamela I. – 2001
The purpose of this study was to investigate whether students expected course difficulty to be reflected in grade distributions and in the amount of out-of-class effort required for success. Students from both upper and lower division classes described the amount of time they expected to spend preparing for an easy class, a difficult class, and a…
Descriptors: Academic Achievement, College Students, Difficulty Level, Expectation