Now showing 1 - 10 of 100
  • Publication
    An Examination of Pre-Service Teachers' Content Knowledge on Linear Equations: A Cross-Cultural Study
    (Nova Science Publishers, Inc, 2020) ;
    We examined Australian and Malaysian pre-service teachers' cognitive process in solving linear equations from a cognitive load perspective. Seventy six Australian and Malaysian pre-service teachers were randomly assigned to solve one-step, two-step and multi-step linear equations, and to undertake a concept test. For Australian pre-service teachers, both the one-step and two-step groups outperformed the multi-step group. In contrast, no difference between the one-step, two-step and multi-step groups was observed for Malaysian pre-service teachers. Moreover, all the three groups of Malaysian pre-service teachers outperformed the corresponding groups of Australian pre-service teachers. Regarding the concept test, both Australian and Malaysian pre-service teachers performed better on the inverse operation (e.g., -4 becomes +4) than the balance operation (e.g., +4 on both sides). The inverse operation incus half as many interactive elements as the balance operation, thus imposing lower cognitive load.
  • Publication
    Undertaking Experiments in Social Sciences: Sequential, Multiple Time Series Designs for Consideration
    (Springer New York LLC, 2017) ;
    In social sciences, the use of stringent methodological approaches is gaining increasing emphasis. Researchers have recognized the limitations of cross-sectional, nonmanipulative data in the study of causality. True experimental designs, in contrast, are preferred as they represent rigorous standards for achieving causal flows between variables. The Solomon four-group design, for example, is ideal for its positioning to account for, and factor out, confounded influences of predictors on outcomes. However, in daily life settings, it is often difficult to emulate true experimental conditions. Identified limitations include financial resources, logistic difficulties, time constraint, and small sample sizes in social science research settings. There are, of course, other experimental designs that are noteworthy for consideration. Time series and single-case designs, quasi in nature, are effective alternatives for educators and researchers to consider in their research foci. This article examines the different experimental designs that may be implemented in naturalistic classroom settings. In particular, one important inquiry of our theoretical discussion pertains closely to the conceptualization of two innovative designs that we have made, consequently as a result of our research development and examination of the literature: a 'sequential, multiple time series multi-group design and a multi time series, multi-group single-case design'. These experimental designs are innovative and enable comparisons for within and between differences under different experimental conditions.
  • Publication
    Understanding students' learning and engagement: Situating within a motivational perspective
    (Nova Science Publishers, Inc, 2017) ;
    The present research investigation explored the interrelations between three major theoretical orientations: personal self-efficacy (Bandura, 1986, 1997), components of motivational engagement (i.e., absorption, dedication, and vigor) (Schaufeli, Martinez, Pinto, Salanova and Bakker, 2002; Schaufeli, Salanova, González-Romá and Bakker, 2002), and effective functioning (Phan, 2015a, 2015b). This conceptualization, correlational in nature, reflects a non-deficit approach to the study of human behavior. For example, the concept of effective functioning is positive in terms of its characteristics and explanatory power, predicting academic learning and achievement-related outcomes. Based on previous empirical evidence, a number of structural paths are hypothesized for confirmation. 288 (137 females, 151 males) second-year university students participated in this study by answering a suite of questionnaires. Structural equation modeling (SEM) was used to test the a priori model. MPlus 7.2 statistical program produced some key findings, namely: (i) the importance of enactive learning experience as a source of information, (ii) the potent influence of self-efficacy and its mediating role, (iii) the differential influences of the three components of motivational engagement, and (iv) the positive influence of effective functioning. There are both educational and methodological implications arising from the results that are of important value. One theoretical contribution, in this case, is the validation of effective functioning as a central cognitive-motivational predictor of performance outcomes.
  • Publication
    Consideration of Optimal Best, Using Hope as a Point of Reference
    (Nova Science Publishers, Inc, 2017) ;
    Hope is a psychological process that may yield positive educational and non-educational outcomes. Its characteristics, positive in nature, reflect a non-deficit positioning, enabling individuals to anticipate, plan, and persist in different courses of action. One inquiry that has credence for research development is the extent to which hope, as a collective entity, could facilitate and encourage the achievement of optimal best. We recently developed the 'optimal achievement bests theory' (Phan, Ngu, and Williams, 2016), which has been refined to include the 'continuum of achievement bests framework', whereby five progressive achievement bests are noted: 'historical achievement best', 'realistic achievement best', 'personal achievement best', 'optimal achievement best', and 'ultimate achievement best'. Optimal achievement best is a point of reference, which may serve to encourage individuals to strive for successful performance outcomes. Ultimate achievement best, differently, is more inspirational and outside the scope of capability for most individuals. Accomplishing ultimate achievement best, however, is a possibility that cannot be discounted, overall. We consider the possibility that hope, in effect, could positively relate to individual achievement bests (i.e., notably optimal outcomes) of enriched emotional well-beings, situated within the context of the period of adolescence. Emotional well-beings, encompassing a wide range of affective responses have been argued to feature centrally in human agency (Phan, 2015b; Phan and Ngu, 2015b), especially for adolescents who may experience both positives and negatives. Does hope, for example, facilitate the striving and achievement of enriched emotional well-beings in the face of difficulties and obstacles? To what extent does hope enable adolescents to experience positive affective responses (e.g., happiness) that may, in turn, counter detrimental personal functioning on a daily basis (e.g., feeling of pessimism)? Our conceptualization of achievement bests is significant, and may contribute substantive theoretical, methodological, and practical yields for consideration. This chapter then, makes attempts to explicate theoretically the impact of hope on adolescents' optimal achievement bests of their emotional well-beings. This theoretical positioning may provide grounding for advancement into the study of: (i) hope as a facilitator and central mediator of achievement best in relation to emotional well-being (e.g., optimal achievement best), and (ii) the achievement best theoretical framework as reflecting the nature and characteristics of positive psychology. Our in-depth analysis in particular, may explain the impact of emotional well-beings as a proactive vehicle for adolescents.
  • Publication
    Optimization: an attempt to establish empirical evidence for theoretical and practical purposes
    (Springer Netherlands, 2021-06) ;
    Optimal best practice is a central feat of human agency. It emphasizes a state of flourishing and reflects, in this case, the paradigm of positive psychology. One research inquiry that is of interest relates to an explanatory account of how a person reaches a state of optimal best. Recent research development has considered an important psychological process, known as optimization, which may explain a person’s achievement of optimal best practice. Having said this, very little is known about the process of optimization. In this article, the authors report on a non-experimental study (N = 352 secondary school students), which focused on the testing of a theoretical model of optimization. Innovatively, derived from existing theorizations and empirical evidence, the authors provide a methodological rationalization of flourishing, which is defined as a “quantitative difference” between a person’s current level of best practice (denoted as L1) and his/her optimal level of best practice (denoted as L2). Structural equation modeling (SEM) indicated a few major findings, for example, (i) a positive association between a person’s optimal best practice and his/her academic performance in a subject matter, (ii) a person’s current level of best practice acts as a determinant of optimal best practice, and (iii) personal resolve, as a psychological optimizing agent, directly influences optimal best practice, and potentially mediating the effects of academic striving and a person’s current level of best practice on optimal best practice.
  • Publication
    Learning to Solve Trigonometry Problems That Involve Algebraic Transformation Skills via Learning by Analogy and Learning by Comparison
    (Frontiers Research Foundation, 2020-09-25) ;
    The subject of mathematics is a national priority for most countries in the world. By all account, mathematics is considered as being "pure theoretical" (Becher, 1987), compared to other subjects that are "soft theoretical" or "hard applied." As such, the learning of mathematics may pose extreme difficulties for some students. Indeed, as a pure theoretical subject, mathematics is not that enjoyable and for some students, its learning can be somewhat arduous and challenging. One such example is the topical theme of Trigonometry, which is relatively complex for comprehension and understanding. This Trigonometry problem that involves algebraic transformation skills is confounded, in particular, by the location of the pronumeral (e.g., x)—whether it is a numerator sin30° = x/5 or a denominator sin30° = 5/x. More specifically, we contend that some students may have difficulties when solving sin30° = x/5, say, despite having learned how to solve a similar problem, such as x/4 = 3. For more challenging Trigonometry problems, such as sin50° = 12/x where the pronumeral is a denominator, students have been taught to “swap” the x with sin30° and then from this, solve for x. Previous research has attempted to address this issue but was unsuccessful. Learning by analogy relies on drawing a parallel between a learned problem and a new problem, whereby both share a similar solution procedure. We juxtapose a linear equation (e.g., x/4 = 3) and a Trigonometry problem (e.g., sin30° = x/5) to facilitate analogical learning. Learning by comparison, in contrast, identifies similarities and differences between two problems, thereby contributing to students’ understanding of the solution procedures for both problems. We juxtapose the two types of Trigonometry problems that differ in the location of the pronumeral (e.g., sin30° = x/5 vs. cos50° = 20/x) to encourage active comparison. Therefore, drawing on the complementary strength of learning by analogy and learning by comparison theories, we expect to counter the inherent difficulty of learning Trigonometry problems that involve algebraic transformation skills. This conceptual analysis article, overall, makes attempts to elucidate and seek clarity into the two comparative pedagogical approaches for effective learning of Trigonometry.
  • Publication
    Equation Instruction: A Comparison of Balance and Inverse Methods
    (Mathematical Association of New South Wales Inc, 2007)
    Cognitive load theory (Sweller 1988; Sweller and Van Merrienboer, 1998) proposes the need to design instructions to avoid overloading cognitive capacity to assimilate information. In two experiments, the inverse method has facilitated solving equations more than the balance method. The inverse method emphasizes the use of inverse operation to remove numbers associated with the pronumeral; whereas the balance method requires learners to write down the inverse operation performed to balance the equations. Differential performance between the two methods has been interpreted in the light of the extraneous cognitive load associated with the balance method.
  • Publication
    Advancing the study of solving linear equations with negative pronumerals: A smarter way from a cognitive load perspective
    (Public Library of Science, 2022) ;

    Central to cognitive load theory is the concept of element interactivity, which reflects the complexity of material. The complexity of linear equations depends on the number of operational and relational lines and the nature of the operation (balance versus inverse) in the solution procedure. A relational line refers to the quantitative relation whereby the right-hand side of the equation equals to its left-hand side. An operational line refers to the application of an operation and such a procedural step preserves the equality of the linear equation. The balance method and inverse method differ in the operational line (e.g., + 3 on both sides vs.– 3 becomes + 3) where the inverse operation imposes half the level of element interactivity as the balance method. Seventy-five students randomly assigned to either the balance group or inverse group to complete (i) one-step equations (Experiment 1), (ii) two-step equations (Experiment 2), and (iii) one-step and two-step equations with a focus on equations with negative pronumerals (Experiment 3). Performance favoured the inverse group when the gap between the low and high element interactivity equations was substantial enough. Both groups performed better and invested lower mental effort on the inverse operation than the balance operation.

  • Publication
    Online Instruction Versus Face-to-Face Instruction At UNIMAS
    (University of Western Australia, Department of Education, 2002)
    This article compared online instruction and face-to-face instruction at University Malaysia Sarawak (UNIMAS). Participants were undergraduate full-time students who were enrolled in the Human Resource Development Program. The learning materials used was 'How to write research proposals and reports'; and this represented a subtopic in the 'Research Methods' course. The design of an online learning environment emphasized four types of interaction: learner-content interaction (topic notes), learner-self interaction (multiple exercises), learner-learner interaction and instructor-learner interaction (online discussion on case studies and group project). The 'QuickPlace' software was customized to incorporate the component of multiple choice exercises. This latter was written with html language and linked to the 'QuickPlace'. The face-to-face group attended routine lectures and tutorials on the same topic. Test results indicate that the online discussion assisted students to learn case studies slightly better than the face-to-face instruction. This may due to the above learning interactions that resulted in a greater emphasis on self-oriented and group-oriented learning as compared to an instructor-oriented face-to-face learning experience. However, feedback from the students indicate a need to further improve the design of the online course.
  • Publication
    A Case for Cognitive Entrenchment: To Achieve Optimal Best, Taking Into Account the Importance of Perceived Optimal Efficiency and Cognitive Load Imposition
    (Frontiers Research Foundation, 2021-07-27) ;
    One interesting observation that we may all concur with is that many experts, or those who are extremely knowledgeable and well-versed in their respective domains of functioning, become “mediocre” and lose their “touch of invincibility” over time. For example, in the world of professional football, it has been argued that an elite football coach would lose his/her air of invincibility and demise after 10–15 years at the top. Why is this the case? There are different reasons and contrasting viewpoints that have been offered to account for this observed demise. One notable concept, recently introduced to explain this decline, is known as cognitive entrenchment, which is concerned with a high level of stability in one's domain schemas (Dane, 2010). This entrenchment or “situated fixation,” from our proposition, may act to deter the flexibility and/or willingness of a person to adapt to a new context or situation. Some writers, on this basis, have argued that cognitive entrenchment would help explain the demise of some experts and/or why some students have difficulties adapting to new situations. An initial inspection would seem to indicate that cognitive entrenchment is detrimental, potentially imparting evidence of inflexibility, difficulty, and/or the unwillingness of a person to adapt to new contexts (Dane, 2010). This premise importantly connotes that expertise may constrain a person from being flexible, innovative, and/or creative to ongoing changes. In this analysis, an expert may experience a cognitive state of entrenchment, facilitated in this case by his/her own experience, knowledge, and/or theoretical understanding of a subject matter. Having said this, however, it is also a plausibility that cognitive entrenchment in itself espouses some form of positivity, giving rise to improvement and/or achievement of different types of adaptive outcomes. Drawing from our existing research development, we propose in this conceptual analysis article that personal “entrenchment” to a particular context (e.g., the situated fixation of a football coach to a particular training methodology) may closely relate to three major elements: self-cognizance of cognitive load imposition, a need for efficiency, and the quest for stability and comfort. As we explore later, there is credence to accept the “positivity” of cognitive entrenchment—that by nature, for example, a person would purposively choose the status quo in order to minimize cognitive load imposition, optimize efficiency, and/or to achieve minimum disruption and a high level of comfort, which could then “optimize” his/her learning experiences. We strongly believe that our propositions, which consider eight in this article, are of significance and may, importantly, provide grounding for further research development into the validity of cognitive entrenchment.