Nanotechnology Learning Innovation: “The Quantum Tripositive Biosmart Nanobiotechnology Model” that Supports a Healthy, Caring,and Nurturing Learning Environment
Effect of Job Stress (Job Itself, Role Management) Work Overload Work Family Conflict Job Embeddedness and Job Satisfaction on Job Performance of School Educators
Exploring Teachers’ Perceptions of Professional Development: A Report of a Research Study undertaken in Thimphu District schools.
NHT: A Potential Intervention to Improve Students’ Cognition and Performance in Bio-Sciences
The Analysis of High School Students’ Attitudes towards Physical Education and Sports Class
Effect of Academic Stress on Achievement Motivation among College Students
The Standing of Hands-On Learning in Education
The Role of Self-Fulfilling Prophecies in Education: Teacher-Student Perceptions
Predictors of Academic Resilience among Students: A Meta Analysis
Impact of Divorce on Students’ Life
Cognitive Versus Learning Styles: Emergence of the Ideal Education Model (IEM)
Adolescents’ Computer Mediated Learning And Influences On Interpersonal Relationships
Observing Emotional Experiences in Online Education
The intelligence of the hands: studying the origin of pedagogical craft education
Ideation training via Innovation Education to improve students’ ethical maturation and social responsibility
There are a multitude of different theories on intelligence and achievement. While intelligence theory remains a highly contentious issue, there are commonalties among prominent research based and non-research based theories, particularly the adoption of belief over testable theory by researchers. The embracing of speculative theory exemplifies a serious dilemma when combining multiple theories to create an archetypal definition. Conjecture can often take the place of measureable analysis. Shedding light on a single pinnacle theory of intelligence remains conjectural, due to the highly complex and nuanced nature of human development. Furthermore, there are immeasurably different perspectives on the meaning of intelligence, and the implications of intelligence theory in general. However, exhaustive research based theories often produce the greatest impact when tested effectively and placed within the context of investigative evaluation. This paper seeks to examine the various components of intelligence theory in order to develop a more comprehensive approach that identifies how intelligence is a complex combination of many different factors.
At present, it is important that individuals have wellness and abilities to cope with problems and to create solutions to problems. These abilities influence individuals' life satisfaction and resilience levels. Life satisfaction refers to well-being and predominance of positive feelings over negative feelings. It is agreed that the less the discrepancy between desires and achievements is, the higher the life satisfaction is. Resilience and life satisfaction are two concepts which have gained importance recently. The objective of this study was to examine factors influencing resilience and life satisfaction and the relation between resilience and life satisfaction in pre-service preschool teachers at Dokuz Eylül University and Ege University. The study was based on the relational screening model. Data were collected with the Resilience Scale and the Satisfaction with Life Scale in the spring term of the 2015/2016 academic year. Two hundred students were included into the study through random sampling. Of 200 students, 181 (90.5%) were female and 19 (9.5%) were male. Data were analyzed with independent samples t test, one-way variance analysis, and Pearson correlation analysis. Resilience and its several subscales are associated with life satisfaction. As resilience increases so does life satisfaction. Social support is effective in improvement of resilience. Young people living in metropolises are lucky in terms of gaining leadership features and being full of life. In addition, young people feeling happy with their study field can be more powerful and full of life and have more initiative and goals. The students luckiest in terms of being optimistic and full of life can be the ones having middle socio-economic status. The positive relation between resilience and life satisfaction reveals the significance of resilience. Therefore, children should be provided with appropriate environments which will develop resilience. Besides, families and teachers should be informed about the issue. Awareness of the society about social support, which helps develop resilience, could also be increased and importance of support from peers, families and relatives in lives of individuals could be emphasized. In addition, suitable environments could be provided for social activities at and outside school.
The purpose of this study was to determine whether a relationship exists between student/instructor rapport, student perceptions of instructor effectiveness, and course grade expectations. Previous studies have determined that rapport affects motivation (Bergström, 2010; Frisby, Berger, Burchett, Herovic, & Strawser, 2014; Legg & Wilson, 2009), perceptions of teacher effectiveness (Giles, 2011; Kozub, 2010), and evaluation scores (Barth, 2008; Kowai-Bell, Guadango, Little, & Ballew, 2012). Student ratings of instruction are the most widely used measure of college teaching effectiveness. Determining what causes one subject to boost a student's rapport with the instructor might help educators apply that knowledge to other subjects. The study was conducted as quantitative research using a non-experimental correlational research design. Data were collected using two instruments, the Professor-Student Rapport Scale and the IDEA Student Ratings of Instruction Short Form. The data were analyzed using Pearson product-moment correlation coefficient (Pearson's r) and Spearman's rank-order correlation coefficient (Spearman's rs ). The study found statistically significant positive correlations between Professor-Student Rapport and Instructor Evaluation and between Professor-Student Rapport and Student Expected Course Grade.
The aim of this paper is to provide a faculty model for positive mentoring was first explored at an African American Historically Black College and University [or “HBCU”]. The purpose of this paper is to present the mentoring model and an analogous trichotomous data analysis methodology referred to as “Tri–Assessment” that is used to determine the validity of the mentoring experience. The research methodology of the mentoring model measures positive mentoring outcomes and is applicable for measuring mentoring as a whole. The model has its foundations in trichotomy drawing upon the research work of the author who has established the field of “Triostatistics” (Osler, 2014), trichotomous research design (Osler, 2012), and the arena of trichotomous psychometric measurement (Osler, 2013a). This paper is organized into various sections that highlight mentoring history, mentoring at an HBCU, and mentoring measurement through the presented model. The example presented of the “Tri–Mentoring Model” presented has the following results: 1.) Identification of positive mentoring traits and characteristics; 2.) An in-depth and accurate way of measuring the outcomes of any mentoring process (as authentically delivered by the participant experiencing the actual mentoring); and lastly 3.) The categorization of positive mentoring outcomes by using the example of faculty mentoring that took place at a HBCU. The author further recommends that both the “Tri–Mentoring Model” and the “Tri–Assessment” research methodology have the unlimited potential to open new arenas of inquiry and data analysis in the diverse field of mentoring and beyond.
The study aimed to know how does mind-map software assess the representation of learners' knowledge and how brain tester software assess the performance of left, right, auditory, and visual lobes of the brain to represent information. It also aimed to study the differential effectiveness of audio, visual, and audio-visual information to represent knowledge. Mind map tool used to know the students' knowledge representation in science, and for that purpose, different audio, visual, and audio-visual tools used to know how learners process cognitive information; those were experienced in the study. There was no hypothesis to draw inferences but three working hypotheses or the research questions framed to find out the result. Every individual has an independent information processor in left, right, auditory, and visual lobe of brain to represent information. It was also resulted that audio-visual information was more effective to process and represent knowledge than audio and visual information.