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She, Hsiao-Ching; Cheng, Meng-Tzu; Li, Ta-Wei; Wang, Chia-Yu; Chiu, Hsin-Tien; Lee, Pei-Zon; Chou, Wen-Chi; Chuang, Ming-Hua – Computers & Education, 2012
This study investigates the effect of Web-based Chemistry Problem-Solving, with the attributes of Web-searching and problem-solving scaffolds, on undergraduate students' problem-solving task performance. In addition, the nature and extent of Web-searching strategies students used and its correlation with task performance and domain knowledge also…
Descriptors: Undergraduate Students, Chemistry, Problem Solving, Internet
Chuang, Yeu-Hui; Tsao, Chiung-Wen – Computers & Education, 2013
The aim of this study was to evaluate the effectiveness of using mobile phone short message service (SMS) to enhance knowledge of medications among nursing students. A quasi-experimental design was used. A convenience sample of 111 nursing students who were taking a pharmacology course at a university in southern Taiwan received an invitation to…
Descriptors: Foreign Countries, Nursing Education, Drug Therapy, Pharmacology
Sandberg, J. A. C.; Wielinga, B. J.; Christoph, L. H. – Computers & Education, 2012
The main research question in this article concerns the added value of a prescriptive model in a simulation/gaming environment: KM Quest. KM Quest is meant to support students in the acquisition of both declarative and procedural knowledge in the domain of Knowledge Management (KM). The prescriptive model (KM model) embedded in the KM Quest…
Descriptors: Knowledge Management, Metacognition, Learning, Experiments
Chen, Ling-Hsiu – Computers & Education, 2011
Although conventional student assessments are extremely convenient for calculating student scores, they do not conceptualize how students organize their knowledge. Therefore, teachers and students rarely understand how to improve their future learning progress. The limitations of conventional testing methods indicate the importance of accurately…
Descriptors: Foreign Countries, Educational Technology, Cognitive Style, Self Efficacy
Shih, Ching-Lin; Chuang, Hsueh-Hua – Computers & Education, 2013
Research in the area of educational technology has argued that the technological pedagogical content knowledge of faculty is crucial to addressing the challenge of teaching in higher education in the digital age, which is characterized by the common use of instructional technology in college classrooms and the ubiquitous presence of computing on…
Descriptors: Test Construction, Test Validity, Measures (Individuals), College Students
Millan, Eva; Descalco, Luis; Castillo, Gladys; Oliveira, Paula; Diogo, Sandra – Computers & Education, 2013
In this paper, we describe the integration and evaluation of an existing generic Bayesian student model (GBSM) into an existing computerized testing system within the Mathematics Education Project (PmatE--Projecto Matematica Ensino) of the University of Aveiro. This generic Bayesian student model had been previously evaluated with simulated…
Descriptors: Computer Assisted Testing, Equations (Mathematics), Mathematics Education, Expertise
Gleaves, Alan; Walker, Caroline – Computers & Education, 2013
This study examines the effects of formative assessment feedback commentaries utilizing textual and aural media on the quality of knowledge elaboration within the written work of a sample of 104 higher education students. A randomized, mixed methodological approach was adopted that examined changes within the students' work over a period of one…
Descriptors: College Students, Feedback (Response), Formative Evaluation, Student Evaluation
Lin, Yi-Chun; Lin, Yen-Ting; Huang, Yueh-Min – Computers & Education, 2011
Students learn new instructions well by building on relevant prior knowledge, as it affects how instructors and students interact with the learning materials. Moreover, studies have found that good prior knowledge can enable students to attain better learning motivation, comprehension, and performance. This suggests it is important to assist…
Descriptors: Expertise, Instructional Design, Test Results, Testing
Noss, Richard; Poulovassilis, Alexandra; Geraniou, Eirini; Gutierrez-Santos, Sergio; Hoyles, Celia; Kahn, Ken; Magoulas, George D.; Mavrikis, Manolis – Computers & Education, 2012
This paper charts the design and application of a system to support 11-14 year old students' learning of algebraic generalisation, presenting students with the means to develop their understanding of the meaning of generality, see its power for mathematics and develop algebraic ways of thinking. We focus squarely on design, while taking account of…
Descriptors: Discovery Learning, Algebra, Cognitive Processes, Design
Kaklauskas, A.; Zavadskas, E. K.; Pruskus, V.; Vlasenko, A.; Seniut, M.; Kaklauskas, G.; Matuliauskaite, A.; Gribniak, V. – Computers & Education, 2010
All distance learning participants (students, professors, instructors, mentors, tutors and the rest) would like to know how well the students have assimilated the study materials being taught. The analysis and assessment of the knowledge students have acquired over a semester are an integral part of the independent studies process at the most…
Descriptors: Distance Education, Academic Degrees, Program Effectiveness, Grading
Ding, N.; Bosker, R. J.; Harskamp, E. G. – Computers & Education, 2011
The aim of the study is to investigate the influence of gender and gender pairing on students' learning performances and knowledge elaboration processes in Computer-Supported Collaborative Learning (CSCL). A sample of ninety-six secondary school students, participated in a two-week experiment. Students were randomly paired and asked to solve…
Descriptors: Males, Females, Secondary School Students, Gender Differences
Moreno, Julian; Ovalle, Demetrio A.; Vicari, Rosa M. – Computers & Education, 2012
Considering that group formation is one of the key processes in collaborative learning, the aim of this paper is to propose a method based on a genetic algorithm approach for achieving inter-homogeneous and intra-heterogeneous groups. The main feature of such a method is that it allows for the consideration of as many student characteristics as…
Descriptors: College Freshmen, Genetics, Mathematics, Models
McLaren, Bruce M.; DeLeeuw, Krista E.; Mayer, Richard E. – Computers & Education, 2011
Should an intelligent software tutor be polite, in an effort to motivate and cajole students to learn, or should it use more direct language? If it should be polite, under what conditions? In a series of studies in different contexts (e.g., lab versus classroom) with a variety of students (e.g., low prior knowledge versus high prior knowledge),…
Descriptors: Feedback (Response), Test Items, Intervention, Intelligent Tutoring Systems
Molenaar, Inge; Roda, Claudia; van Boxtel, Carla; Sleegers, Peter – Computers & Education, 2012
The aim of this study is to test the effects of dynamically scaffolding social regulation of middle school students working in a computer-based learning environment. Dyads in the scaffolding condition (N=56) are supported with computer-generated scaffolds and students in the control condition (N=54) do not receive scaffolds. The scaffolds are…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Metacognition, Learning Processes
Greene, Jeffrey Alan; Costa, Lara-Jeane; Robertson, Jane; Pan, Yi; Deekens, Victor M. – Computers & Education, 2010
Researchers and educators continue to explore how to assist students in the acquisition of conceptual understanding of complex science topics. While hypermedia learning environments (HLEs) afford unique opportunities to display multiple representations of these often abstract topics, students who do not engage in self-regulated learning (SRL) with…
Descriptors: Intelligence, Structural Equation Models, Science Achievement, Prior Learning