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Karvounidis, T.; Chimos, K.; Bersimis, S.; Douligeris, C. – Journal of Computer Assisted Learning, 2014
In this work, Web 2.0 technologies in higher education are evaluated using students' perceptions, satisfaction, performance and behaviour. The study evaluates the Web 2.0 tools as stand-alone entities as well in terms of their cross-operability and integration (confluence) to synergistic contributions towards the enhancement of student…
Descriptors: Web 2.0 Technologies, Computer Software Evaluation, Higher Education, Student Attitudes
Bowman, Charles Robert – ProQuest LLC, 2012
Improving student performance is the goal of any chemistry educator. With the proliferation of internet technologies in recent years, educators have been struggling with providing effective learning materials to students online. These materials also have not always had the intended effect of improving student performance. Either students do not…
Descriptors: Study Habits, Student Attitudes, Correlation, Schematic Studies
Castledine, Alanah-Rei; Chalmers, Chris – Design and Technology Education, 2011
With the current curriculum focus on correlating classroom problem solving lessons to real-world contexts, are LEGO robotics an effective problem solving tool? This present study was designed to investigate this question and to ascertain what problem solving strategies primary students engaged with when working with LEGO robotics and whether the…
Descriptors: Foreign Countries, Problem Solving, Grade 6, Relevance (Education)
Kao, Gloria Yi-Ming; Lin, Sunny S. J.; Sun, Chuen-Tsai – Computers & Education, 2008
The authors address the role of computer support for building conceptual self-awareness--that is, enabling students to think outside of concept boundaries in hope of enhancing creative potential. Based on meta-cognition theory, we developed an integrated concept mapping system (ICMSys) to improve users' conceptual self-awareness in addition to…
Descriptors: Concept Mapping, Information Management, Computer Assisted Instruction, Educational Technology
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
Hannafin, Robert D.; Foshay, Wellesley R. – Educational Technology Research and Development, 2008
Patriot High School (PHS) adopted a remediation strategy to help its 10th-grade students at risk of failing the Math portion of MCAS, the state's end of year competency exam. The centerpiece of that strategy was a computer-based instructional (CBI) course. PHS used a commercially available CBI product to align the course content with the…
Descriptors: Computer Assisted Instruction, High Risk Students, High Stakes Tests, Course Content