Algorithms are hard to understand for novice computer science students because they dynamically modify values of elements of abstract data structures. Animations can help to understand algorithms, since they connect abstract concepts to real life objects and situations. In the past 30-35 years, there have been conducted many experiments in the…

Many educational technology proponents support the Technological Pedagogical Content Knowledge (TPACK) model as a way to conceptualize teaching with technology, but recent TPACK research shows a need for empirical studies regarding the development of this knowledge. This proof-of-concept study applies mixed-methods to investigate the…

Model-Based learning is a methodology that facilitates students' construction of scientific knowledge, which, sometimes, includes restructuring their mental models. Taking into consideration students' learning process, its aim is to promote a deeper understanding of phenomena's dynamics through the manipulation of models. Our aim was to ascertain…

Different approaches have been used to teach EFL students summary writing, including a genre-based approach (Chen & Su, 2012), implementing key words and question generation (Chou, 2012), and automatic scaffolding and concept mapping (Yang, 2015). This study aims to explore the effectiveness of another approach--one that might be more…

This study examines graphing calculator affordances in learning mathematics among college precalculus students. The study draws from the Cognitive Load Theory (CLT) and the "Intelligent Technology" theoretical framework proposed by Salomon, Perkins, and Globerson (1991). From these perspectives the effects "with" the graphing…

The aims of this study are: (1) to develop iPad-based computer simulations called iSimPhysics that can help people learn Newtonian physics concepts; and (2) to assess its educational benefits and pedagogical usefulness. To facilitate learning, iSimPhysics visualizes abstract physics concepts, and allows for conducting a series of computer…

Children practice their spatial skills when playing with spatial toys, such as construction materials, board games, and puzzles. Sex and SES differences are observed in the engagement in such spatial play activities at home, which relate to individual differences in spatial performance. The current study investigated the effects of explicitly…

This paper explores the application of canonical gradient analysis to evaluate and visualize student performance and acceptance of a learning system platform. The subject of evaluation is a first year BSc module for computer programming. This uses "Ceebot," an animated and immersive game-like development environment. Multivariate…

Electrochemistry is found to be a difficult topic to learn due to its abstract concepts that involve three representation levels. Research showed that animation and simulation using Information and Communication Technology can help students to visualize and thus enhance students' understanding in learning abstract chemistry topics. As a result, an…

Since imagery is a unidimensional variable, all measures of imagery, both questionnaires and behavioral, should be correlated; this, however, has not been supported by earlier research. Therefore, a new questionnaire on mental imagery--the Differential Imagery Questionnaire (DIQ)--was developed which taps four types of imagery: word imagery (WI);…

This dissertation presents the results of an investigation of visual mental imagery as a strategy hypothesized to increase the amount of interaction with content material and therefore the level of information processing and acquisition, and to assist information retrieval on posttests. Four treatments were used in a crossed, randomized two by two…