The significance of learning style with respect to achievement in first year programming students

Study investigates the relationship between the Kolb learning style of first-year programming students and their level of achievement. The method of data collection is described and the process of hypothesis testing is explained. The students in this study were predominately converger and accommodator learning styles. Statistical tests indicated no overall difference between the results of students with different learning styles but a difference was found along Kolb\u27s concrete-abstract axis. A number of possible impacts on teaching are discussed and suggestions made for future research

A Model of an E-Learning Web Site for Teaching and Evaluating Online

This research is endeavoring to design an e-learning web site on the internet having the course name as "Object Oriented Programming" (OOP) for the students of level four at Computer Science Department (CSD). This course is to be taught online (through web) and then a programme is to be designed to evaluate students performance electronically while introducing a comparison between online teaching , e-evaluation and traditional methods of evaluation. The research seeks to lay out a futuristic perception that how the future online teaching and e-electronic evaluation should be the matter which highlights the importance of this research

The role of unit evaluation, learning and culture dimensions related to student cognitive style in hypermedia learning

Recent developments in learning technologies such as hypermedia are\ud becoming widespread and offer significant contributions to improving the delivery\ud of learning and teaching materials. A key factor in the development of hypermedia\ud learning systems is cognitive style (CS) as it relates to users‟ information\ud processing habits, representing individual users‟ typical modes of perceiving,\ud thinking, remembering and problem solving.\ud \ud \ud \ud \ud A total of 97 students from Australian (45) and Malaysian (52) universities\ud participated in a survey. Five types of predictor variables were investigated with\ud the CS: (i) three learning dimensions; (ii) five culture dimensions; (iii) evaluation\ud of units; (iv) demographics of students; and (v) country in which students studied.\ud Both multiple regression models and tree-based regression were used to analyse\ud the direct effect of the five types of predictor variables, and the interactions within\ud each type of predictor variable. When comparing both models, tree-based\ud regression outperformed the generalized linear model in this study. The research\ud findings indicate that unit evaluation is the primary variable to determine students‟\ud CS. A secondary variable is learning dimension and, among the three dimensions,\ud only nonlinear learning and learner control dimensions have an effect on students‟\ud CS. The last variable is culture and, among the five culture dimensions, only\ud power distance, long term orientation, and individualism have effects on students‟\ud CS. Neither demographics nor country have an effect on students‟ CS.\ud These overall findings suggest that traditional unit evaluation, students‟\ud preference for learning dimensions (such as linear vs non-linear), level of learner\ud control and culture orientation must be taken into consideration in order to enrich\ud students‟ quality of education. This enrichment includes motivating students to\ud acquire subject matter through individualized instruction when designing,\ud developing and delivering educational resources

Impact of Teacher Attitude and Urbanicity Through the Implementation of Positive Behavior Support Programming

One of the major questions that both urban and non-urban public school districts are faced with is the relationship between the predictors of school climate, student behavior, staff perceptions and the influence these variables have on school climate. School districts are under public scrutiny to produce positive achievement results for all students. Much research suggests that schools that are considered urban are generally considered unsafe, unproductive and unable to produce students that are competitive in a 21st century global economy. In the major urban centers, student populations are decreasing, flooding the first-ring school districts. First-ring school districts are the individual school districts that immediately border major urban school centers. What are left in the major urban districts are families that are unable to improve their situation and move out of the school districts that are generally considered a failure. One area that has been generally targeted as a method to improve student achievement is the area of school climate. Various programs in the public school setting have been instituted to positively influence school climate. Inside the school setting, there are diverse variables that can affect the efficient running of a school building: school climate, student population, discipline occurrences in a school, specific positive behavior support programs (PBS), at risk behavior intervention programs for students, academic intervention programs, staff morale and standardized testing results for a specific school district. These predictors, along with individual human development and behavior, influence school climate. It is essential to understand how these characteristics can impact school climate in an urban and non-urban setting what policies or procedures can positively impact climate at the building level and how can these factors can influence staff perceptions towards student achievement. Educators have yet to determine the exact interplay of the factors that predict sch

Cultural Responsiveness, Racial Identity and Academic Success: A Review of Literature

Commissioned by the Heinz Endowments, this paper reviews the literature on "culturally responsive pedagogy" and the arts. Academic success among African Americans is correlated with education that incorporates racial identity and socialization and a focus on resiliency and culturally relevant concepts. The arts are an ideal venue for such educational programs

Early Childhood Classroom Quality and Preschool Learning Behaviors

The intelligence quotient (IQ) continues to dominate educational decision-making although it lacks descriptive quality indicative of how children learn best and precisely what contributes to learning differences among children. Researchers have advocated for the use of alternative assessment methods to describe differences in children\u27s learning. Limited research has been conducted in this area yet is supportive of learning behavior as an influential factor associated with scholastic achievement. Unfortunately, little research has been conducted on preschool learning behaviors, despite their link to positive child outcomes. Early childhood environments have similarly been linked to children\u27s scholastic success and positive outcomes. This study examined the relationships between early childhood program quality, preschool learning behaviors, and early scholastic achievement among 123 preschool aged children enrolled in high, medium and low quality early childhood programs in western Pennsylvania. The Early Childhood Environment Rating Scale -- Revised (ECERS-R) was used to evaluate program quality, while preschool learning behavior was assessed by the teacher completed Preschool Learning Behaviors Scale (PLBS). The Basic School Skills Inventory-Third Edition (BSSI-3) was utilized to assess child competencies across the academic domains of reading, writing, mathematics, and spoken language. Additional measures were utilized to determine convergent validity for the PLBS. Analyses sought to verify the factor structure and validity of the PLBS, and to determine whether children participating in programs of varying quality differed in learning behavior development and scholastic achievement. Regression analyses were employed to determine which classroom quality factors were predictive of learning behavior. The potential mediating effect of learning behavior on the classroom quality-scholastic outcome relationship was also tested. Results of the study provide support for the validity of the PLBS, however results of factor analyses did not comport with previous findings. Results indicated that children participating in classrooms of various quality did not significantly differ in the quality of their learning behavior. However, significant differences were found among quality groups across areas of early scholastic achievement. Regression analyses indicated that two ECERS-R factors were predictive of learning behavior, and that preschool learning behavior had no mediating effect on the quality-achievement relationship. Suggestions for future research are provided

Does increasing communication through visual learning environments enhance student perceptions of lecturers?

The current study was conducted in an effort to examine whether increased levels of communication using visual learning environments (VLEs) alters student perceptions of lecturers. Eighty-six MSc students in Computing Science participated by using She and Fisher’s (2002) Teacher Communication Behavior Questionnaire (TCBQ). In addition to using the questionnaire, data from the electronic class site were used to make assessments about the quality and quantity of communication. Two types of classrooms were evaluated: a) a control condition in which the lecturer did not alter any communication aspect of the module, and b) the experimental condition in which the lecturer posted weekly discussion topics. Significant differences were found by cultural background and gender of the students. The bulletin board postings in the experimental condition were more heavily content-based than the control condition ones. The consistency in discussion topic of the experimental condition postings, both bulletin board and email, were more fluid than in the control condition

Being Black Is Not a Risk Factor: A Strengths-Based Look at the State of the Black Child

Including nine essays from experts and five "points of proof" organization case studies, this publication challenges the prevailing discourse about black children and intends to facilitate a conversation around strengths, assets, and resilience. It addresses the needs of policymakers, advocates, principals, teachers, parents, and others

Does increasing communication through virtual learning environments enhance student perceptions of lecturers?

The current study was conducted in an effort to examine whether increased levels of communication using visual learning environments (VLEs) alters student perceptions of lecturers. Eighty-six MSc students in Computing Science participated by using She and Fisher’s (2002) Teacher Communication Behavior Questionnaire (TCBQ). In addition to using the questionnaire, data from the electronic class site were used to make assessments about the quality and quantity of communication. Two types of classrooms were evaluated: a) a control condition in which the lecturer did not alter any communication aspect of the module, and b) the experimental condition in which the lecturer posted weekly discussion topics. Significant differences were found by cultural background and gender of the students. The bulletin board postings in the experimental condition were more heavily content-based than the control condition ones. The consistency in discussion topic of the experimental condition postings, both bulletin board and email, were more fluid than in the control condition