The effects of modern mathematics computer games on mathematics achievement and class motivation

This study examined the effects of a computer game on students' mathematics achievement and motivation, and the role of prior mathematics knowledge, computer skill, and English language skill on their achievement and motivation as they played the game. A total of 193 students and 10 teachers participated in this study. The teachers were randomly assigned to experimental and control groups. A mixed method of quantitative and interviews were used with Multivariate Analysis of Co-Variance to analyze the data.     

The effect of computer-assisted teaching on remedying misconceptions: The case of the subject “probability”

The aim of this study is to determine the effects of computer-assisted teaching (CAT) on remedying misconceptions students often have regarding some probability concepts in mathematics. Toward this aim, computer-assisted teaching materials were developed and used in the process of teaching. Within the true-experimental research method, a pre- and post-test control group study was carried out with 37 seventh-grade students-18 in the experimental group (CAT) and 19 in the control group (traditional teaching). A 12-item instrument, made up of 4 items related to each of the concepts “Probability Comparisons (PC),” “Equiprobability (E),” and “Representativeness (R),” was developed and implemented with the participants. After the teaching intervention, the same instrument was again administered to both groups as a post-test. In light of the findings, it can be concluded that computer-assisted teaching was significantly more effective than traditional methods in terms of remedying students’ misconceptions.     

The use of a computer simulation to promote conceptual change: A quasi-experimental study

This mixed-methods investigation compared the effectiveness of three instructional approaches in achieving desired conceptual change among early childhood preservice teachers (n = 157). Each of the three treatments employed inquiry-based instruction on moon phases using data collected from: (1) the planetarium software program, Starry Night™, (2) nature observations and Starry Night™, or (3) nature observations alone. Data sources included drawings, intensive interviews, and a lunar shapes card sort. The data sets were analyzed via a constant comparative method in order to produce profiles of each participant’s pre- and post-instruction conceptual understandings of moon phases. Non-parametric tests of significance revealed that pre- to post-instruction gains were significant for all three treatments across all targeted concepts. The Starry Night™-Only treatment demonstrated statistically greater gains for sequencing moon phases than the other two treatments. However, there were no significant differences among the three treatments in regard to participants’ abilities to draw scientific moon shapes or in their conceptions of the causes of moon phases. Thus, the three treatments were equally effective in facilitating desired conceptual change.     

The atomic intrinsic integration approach: A structured methodology for the design of games for the conceptual understanding of physics

Computer simulations combined with games have been successfully used to teach conceptual physics. However, there is no clear methodology for guiding the design of these types of games. To remedy this, we propose a structured methodology for the design of conceptual physics games that explicitly integrates the principles of the intrinsic integration approach for designing instructional games (Habgood & Ainsworth, 2011) with an atomic analysis of the structure of games (Cook, 2007; Cousins, 2005; Koster, 2005). To test this approach, we redesigned an existing game to teach electrostatics and compared the educational effectiveness of the original and redesigned versions. Our studies also compared an endogenous fantasy version of the game with a non-fantasy version.     

A framework for the design and integration of collaborative classroom games

The progress registered in the use of video games as educational tools has not yet been successfully transferred to the classroom. In an attempt to close this gap, a framework was developed that assists in the design and classroom integration of educational games. The framework addresses both the educational dimension and the ludic dimension. The educational dimension employs Bloom’s revised taxonomy to define learning objectives and applies the classroom multiplayer presential game (CMPG) pedagogical model while the ludic dimension determines the gaming elements subject to constraints imposed by the educational dimension. With a view to validating the framework, a game for teaching electrostatics was designed and experimentally implemented in a classroom context. An evaluation based on pre/post testing found that the game increased the average number of correct answers by students participating in the experiment from 6.11 to 10.00, a result found to be statistically significant. Thus validated, the framework offers a promising basis for further exploration through the development of other games and fine-tuning of its components.     

A computer environment for beginners’ learning of sorting algorithms: Design and pilot evaluation

This paper presents the design, features and pilot evaluation study of a web-based environment -the SORTING environment- for the learning of sorting algorithms by secondary level education students. The design of this environment is based on modeling methodology, taking into account modern constructivist and social theories of learning while at the same time acknowledging the role of hands-on experience, the significance of students’ expressing their previous knowledge, the importance of interlinked multiple representation systems (MRS) and the role of constructive feedback on student learning. Although SORTING supports student learning of typical sorting algorithms such as Bubble-sort, Quick-sort and Selection-sort, it can also be adapted to integrate more sorting algorithms. The analysis of the data emerging from the pilot evaluation study of SORTING has shown that students used all the representation systems (RS) provided and found them attractive and easy to use. On the whole, student interactions within SORTING helped them to become aware of both the intuitive and the typical sorting procedures used, to conceptualize them, to overcome learning difficulties, to correct themselves and to make connections between different representations of the sorting algorithms used.     

A case study of the in-class use of a video game for teaching high school history

This study examines the case of a sophomore high school history class where Making History, a video game designed with educational purposes in mind, is used in the classroom to teach about World War II. Data was gathered using observation, focus group and individual interviews, and document analysis. The high school was a rural school located in a small town in the Midwestern United States. The teacher had been teaching with the game for several years and spent one school week teaching World War II, with students playing the game in class for three days of that week. The purpose of this study was to understand teacher and student experiences with and perspectives on the in-class use of an educational video game. Results showed that the use of the video game resulted in a shift from a traditional teacher-centered learning environment to a student-centered environment where the students were much more active and engaged. Also, the teacher had evolved implementation strategies based on his past experiences using the game to maximize the focus on learning.     

Motivating the learning of science topics in secondary school: A constructivist edutainment setting for studying Chaos

In this paper, we present an Edutainment (education plus entertainment) secondary school setting based on the construction of artifacts and manipulation of virtual contents (images, sound, and music) connected to Chaos.     

Interactivity in the classroom and its impact on learning

The term ‘interactive’ appears in two distinct strands of educational research discourse: one concerning pedagogy and the other concerning new technologies in education. As new technology increasingly pervades most classrooms in the UK, it seems likely that it would be fruitful to explore, both theoretically and empirically, links between the concepts of ‘interactive teaching’ and ‘interactive technology’.     

A video lecture and lab-based approach for learning of image processing concepts

The current practice of traditional in-class lecture for learning computer science (CS) in the high schools of Taiwan is in need of revamping. Teachers instruct on the use of commercial software instead of teaching CS concepts to students. The lack of more suitable teaching materials and limited classroom time are the main reasons for the software-based teaching practices. This study proposes a pre-class video viewing of the lecture content plus in-class supervised laboratory work as a model that can overcome the above problems. Experiments on teaching image processing concepts at two local high schools have been conducted. The experimental results show that the proposed model is a feasible and effective way for the teaching and learning of image processing. The new approach also facilitates student–student and student–teacher interactions in the classroom. Finally, an improvement in the understanding of the subject by the students and an increased interest toward learning CS are also evident.     

Gestures in conversation – the significance of gestures and utterances when children and preschool teachers create stories using the computer

Gestures are a significant part of communication and carry particular weight when using artefacts such as computers. This study investigates how gestures and utterances are used as resources in the interaction between children and preschool teachers when creating stories with the computer. The data consists of observations of 17 preschool teachers and 34 children who are engaged in making stories. The interaction between the child, the preschool teacher, and the computer has been documented on videotape and analysed by Interaction Analysis. The results show the preschool teachers’ decisive significance as an interplay partner for the child’s appropriation of a linguistic capacity outside of a here-and-now situation.     

Complexities of digital technology use and the teaching and learning of function

Many argue that digital technologies have the potential to enhance the teaching and learning of mathematics. However, the availability of technology is not sufficient to realise this potential. The study reported takes a detailed approach to investigate the utility of the particular offerings of the available technologies in the teaching and learning of a specific area of mathematics, functions. Sixteen affordances identified in the data are described. The complexity of the process involved in resolving a situation where particular affordances would be useful so as they are perceived and enacted is detailed. Finally, a grounded theory framework arising from the data analysis from this study that can be used to explain, predict and guide action in other digital environments is presented.     

Integration of simulation into pre-laboratory chemical course: Computer cluster versus WebCT

Pre-laboratory activities have been known to improve students’ preparation before their practical work as they assist students to make available more working memory capacity for actual learning during the laboratory. The aim of this investigation was to compare two different teaching approaches which supported a pre-laboratory session by using the same simulation program. The investigation was conducted in two countries (Greece and UK). The Greek students attended the course in a computer cluster, where the teacher and the students had a face-to-face communication, while the English students participated in the on-line WebCT course, where there was an on-line asynchronous discussion. A crucial point which emerged from this investigation was that the simulation program in the two different pre-laboratory training sessions gave the same learning outcome; however, the learning characteristics and the teacher’s effort were different. Thus, the teacher could adopt both the two teaching approaches depending on the university facilities, the staff’s time and the students’ familiarity with virtual learning environments. However, in each case of students followed a different way (collaboration or/and independent learning) to obtain the similar learning outcome. In all cases after their pre-laboratory training session they entered the laboratory performing the experiments without any further instructions. Additionally, the teacher’s role was slight difference in the two teaching approaches. In the computer cluster, the teacher had a more active role guiding students to obtain the expected learning outcome through face-to-face discussion and interaction, whereas in the case of the virtual learning environment (WebCT), the teacher had a more of a facilitator role focused on posing questions to the students and collecting the resources promoting the independent learning.     

Mining students’ inquiry actions for understanding of complex systems

This study lies at an intersection between advancing educational data mining methods for detecting students’ knowledge-in-action and the broader question of how conceptual and mathematical forms of knowing interact in exploring complex chemical systems. More specifically, it investigates students’ inquiry actions in three computer-based models of complex chemical systems when their goal is to construct an equation relating physical variables of the system. The study’s participants were 368 high-school students who interacted with the Connected Chemistry (CC1¹) curriculum and completed identical pre- and post-test content knowledge questionnaires. The study explores whether and how students adapt to different mathematical behaviors of the system, examines how these explorations may relate to prior knowledge and learning in terms of conceptual and mathematical models, as well as components relating to understanding systems. Students’ data-collection choices were mined and analyzed showing: (1) In about half the cases, mainly for two out of the three models explored, students conduct mathematically-astute (fit) explorations; (2) A third of the students consistently adapt their strategies to the models’ mathematical behavior; (3) Fit explorations are associated with prior conceptual knowledge, specifically understanding of the system as complex, however, the three explorations’ fitness is predicted by the understanding of distinct sets of systems’ components; (4) Fit explorations are only somewhat associated with learning along complementary dimensions. These results are discussed with respect to 1) the importance of a conceptual understanding regarding individual system elements even when engaged in large-scale quantitative problem solving, 2) how distinct results for the different models relate to previous literature on conceptual understanding and particular affordances of the models, 3) the importance of engaging students in creating mathematical representations of scientific phenomena, as well as 4) educational applications of these results in learning environments.     

Computer games development and appreciative learning approach in enhancing students’ creative perception

Creativity is an important entity in developing human capital while computer games are the current generation’s contemporary tool. This study focused on the teaching of computer games development in order to enhance the creative perception of secondary school children. The study applied randomised subjects, with control group experimental design, which involved 69 Malaysian form one students, aged 13–14 year-old. Different pedagogical strategies were being investigated on the abilities to enhance students’ creative perception. Treatment group adopted appreciative learning approach, which was based on Appreciative Inquiry (AI) theory. Meanwhile, control group adopted self-paced learning, followed by do-it-yourself session. Previous studies indicated that although appreciative learning approach is still in its infancy development, the approach is gaining its momentum in educational settings as it focuses on strengthening a person’s capacities and potential. Students’ creative perception was assessed using Khatena-Torrance Creative Perception Inventory (KTCPI). It was found students in treatment group gained a mean score of 71.82, which was significantly higher at .05 level of significance compared to the mean score of 50.49 exhibited by the control group. Yet, both treatment and control groups showed significant increases in pre-to-post-test scores. Dimensions within KTCPI were further analysed in order to present a better picture of students’ creative perception. As a conclusion, different pedagogical strategy generated different level of creative perception enhancement.     

The learning effects of computer simulations in science education

This article reviews the (quasi)experimental research of the past decade on the learning effects of computer simulations in science education. The focus is on two questions: how use of computer simulations can enhance traditional education, and how computer simulations are best used in order to improve learning processes and outcomes. We report on studies that investigated computer simulations as a replacement of or enhancement to traditional instruction. In particular, we consider the effects of variations in how information is visualized, how instructional support is provided, and how computer simulations are embedded within the lesson scenario. The reviewed literature provides robust evidence that computer simulations can enhance traditional instruction, especially as far as laboratory activities are concerned. However, in most of this research the use of computer simulations has been approached without consideration of the possible impact of teacher support, the lesson scenario, and the computer simulation’s place within the curriculum.     

Aptitude-treatment interactions in preservice teachers’ behavior change during computer-simulated teaching

Adapting training methods to specific teacher traits to best facilitate the training effects for preservice teachers is an important, yet neglected, topic in aptitude-treatment interaction research. This study investigated interactions between four personal traits (CT-dispositions, thinking styles, CT-skills, and intrapersonal intelligence) and two designed treatments on preservice teachers’ behavior change during a computer-simulated teaching experience. One hundred and seventy-eight preservice teachers participated in this study. The CS-TGCTS simulation program was employed to measure the preservice teachers’ actual use of effective teacher behaviors, as well as the four targeted personal traits which were measured by three Likert-scale inventories and one multiple-choice test. The results suggest that preservice teachers with high levels of CT-dispositions, CT-skills, and intrapersonal intelligence – as well as those with judicial or legislative thinking styles – are mindful, analytical, and reflective in their teaching practices and therefore more likely to continually improve their teaching skills.     

Examining the pedagogical foundations of modern educational computer games

This study examines the pedagogical foundations of modern educational (computer video) games. Specifically, Cooper’s [Cooper, H. (1985, Mar 31–April 4). A taxonomy of literature reviews. In Paper presented at the American Educational Research Association, Chicago, IL] literature review framework was used to locate and examine relevant literature and games (published between the years 2000 and 2007) and to organize and report findings. A total of 50 articles and 55 educational games met specified selection criteria. The pedagogical foundations of the games were further investigated by contacting the authors of the games. Twenty-two games were based on established learning theories or instructional strategies and two games included basic instructional events that were not associated with any particular theory or strategy. No information regarding the pedagogical foundations of the 31 games was found or received. Analysis of the games and supporting literature revealed several patterns of practice that may be used to guide future research and development of educational games.     

A computer game as a context for non-routine mathematical problem solving: The effects of type of question prompt and level of prior knowledge

The purpose of this study was to investigate the effects of type of question prompt and level of prior knowledge on non-routine mathematical problem solving. A computer game was blended within the pattern reasoning tasks, along with question prompts, in order to demonstrate and enhance the connections between viable problem-solving strategies and the content knowledge in a visible manner. Seventy-eight 9th graders from two classes in a public junior high school participated in the 6-week experimental instruction. Participants were randomly assigned to the specific-prompt group and the general-prompt group to receive the one-hour weekly treatment. The results revealed that (a) the interaction of question prompts and prior knowledge was not significant, and (b) for the problem-solving performances, the specific-prompt group outperformed the general-prompt group and the high prior-knowledge group outperformed the low prior-knowledge group. Further, students receiving specific prompts outperformed those receiving general prompts in the problem-solving performance: reasoning for two variables. Students with high prior knowledge outperformed those with low prior knowledge in the two problem-solving performances: reasoning for one variable and reasoning for two variables. It was also found that prior knowledge and comprehensive mathematical ability were important predictors for the two problem-solving performances: reasoning for one variable and reasoning for two variables. However question prompts and mathematics attitude were not significant predictors for predicting the problem-solving performance of reasoning for one variable. Lastly, implications for these results and recommendations for future research were discussed.