Regulatory mode preferences for autonomy supporting versus controlling instructional styles

Background Three studies carried out in educational settings examined determinants of teacher's instructional styles and students' degree of satisfaction with the learning climates created by such styles. Aims Based upon regulatory mode theory, Studies 1 and 2 tested the hypotheses that teachers' locomotion orientation will be positively related, and their assessment orientation will be negatively related, to autonomy supportive (vs. controlling) instructional styles. Study 3 tested the hypothesis that students' regulatory mode will exhibit a fit effect with the prevalent learning climate in their school. Samples Participants for Study 1 were 378 teachers (278 females); for Study 2 were 96 teachers (65 females); and for Study 3 were 190 students (all males). Method Participants completed questionnaires that included measures of teaching styles (Studies 1 and 2), perceived learning climate and satisfaction (Study 3), and regulatory mode orientations (Studies 1 and 3). In Study 2 regulatory mode orientations were experimentally induced. Results Results confirmed that teachers' autonomy supportive versus controlling styles were positively related to their locomotion orientations and negatively related to their assessment orientation, and that students with a stronger locomotion (vs. assessment) orientation reported a higher level of satisfaction when the learning climate was perceived as autonomy supportive (vs. controlling). Conclusions The present studies show that teachers' preference for adopting an instructional style is influenced by their regulatory mode orientations, and that the effects of a learning climate on students' satisfaction are contingent on a fit between type of learning climate and students' regulatory mode orientations.     

Fostering Creativity in the Classroom: Effects of Teachers' Epistemological Beliefs,Motivation, and Goal Orientation

The relationships of teachers' epistemological beliefs, motivation, and goal orientation to their instructional practices that foster student creativity were examined. Teachers' perceived instructional practices that facilitate the development of multiple perspectives in problem solving, transfer, task commitment, creative skill use, and collaboration were measured as indicators of their effort to foster creative thinking in students. Participants were 178 elementary‐school teachers of third‐, fourth‐, and fifth‐graders. Teachers' learning goal orientation was the most significant teacher attribute that demonstrated significant impacts on all five creativity‐fostering instructional practices. Teachers with sophisticated beliefs about knowledge and with high intrinsic motivation for creative work also reported supporting student creativity through some of their instructional practices. However, teachers' motivation for challenging work, beliefs about learning, or performance goals did not significantly predict most of the creativity‐fostering instructional practices. Educational implications of the current findings are offered.     

A reinforcement learning approach to personalized learning recommendation systems

Personalized learning refers to instruction in which the pace of learning and the instructional approach are optimized for the needs of each learner. With the latest advances in information technology and data science, personalized learning is becoming possible for anyone with a personal computer, supported by a data-driven recommendation system that automatically schedules the learning sequence. The engine of such a recommendation system is a recommendation strategy that, based on data from other learners and the performance of the current learner, recommends suitable learning materials to optimize certain learning outcomes. A powerful engine achieves a balance between making the best possible recommendations based on the current knowledge and exploring new learning trajectories that may potentially pay off. Building such an engine is a challenging task. We formulate this problem within the Markov decision framework and propose a reinforcement learning approach to solving the problem.     

Cognitive Load Theory and the Format of Instruction

Cognitive load theory suggests that effective instructional material facilitates learning by directing cognitive resources toward activities that are relevant to learning rather than toward preliminaries to learning. One example of ineffective instruction occurs if learners unnecessarily are required to mentally integrate disparate sources of mutually referring information such as separate text and diagrams. Such split-source information may generate a heavy cognitive load, because material must be mentally integrated before learning can commence. This article reports findings from six experiments testing the consequences of split-source and integrated information using electrical engineering and biology instructional materials. Experiment 1 was designed to compare conventional instructions with integrated instructions over a period of several months in an industrial training setting. The materials chosen were unintelligible without mental integration. Results favored integrated instructions throughout the 3-month study. Experiment 2 was designed to investigate the possible differences between conventional and integrated instructions in areas in which it was not essential for sources of information to be integrated to be understood. The results suggest that integrated instructions were no better than split-source information in such areas. Experiments 3, 4, and 5 indicate that the introduction of seemingly useful but nonessential explanatory material (e.g., a commentary on a diagram) could have deleterious effects even when presented in integrated format. Experiment 6 found that the need for physical integration was restored if the material was organized in such a manner that individual units could not be understood alone. In light of these results and previous findings, suggestions are made for cognitively guided instructional packages.     

Applying multimedia learning theory to map learning and driving navigation

The effects of multimedia instructional materials on map learning and subsequent navigation were examined. Participants studied visual and/or verbal driving directions presented simultaneously, sequentially, or exclusively. Memory recall for the studied information was tested, and participants then attempted to navigate the studied routes as well as a novel route in a driving simulator. Dual modality materials with oral narrative directions and a visual map produced significantly superior performance for recall, navigational accuracy, and number of destinations reached than presentation in either modality alone. The presence of a map facilitated route recall but not subsequent ability to navigate routes in the simulator. Map-first dual modality sequential presentation enhanced wayfinding efficiency on the novel route compared to narration-first sequential presentation. Simultaneous presentation of dual modality materials allowed more destinations to be reached compared with sequential presentation. The results demonstrate that multimedia instructional materials can facilitate map learning and driving navigation, extending the applications of multimedia learning theory to this novel domain.     

Active learning: effects of core training design elements on self-regulatory processes, learning, and adaptability

This article describes a comprehensive examination of the cognitive, motivational, and emotional processes underlying active learning approaches; their effects on learning and transfer; and the core training design elements (exploration, training frame, emotion control) and individual differences (cognitive ability, trait goal orientation, trait anxiety) that shape these processes. Participants (N = 350) were trained to operate a complex, computer-based simulation. Exploratory learning and error-encouragement framing had a positive effect on adaptive transfer performance and interacted with cognitive ability and dispositional goal orientation to influence trainees' metacognition and state goal orientation. Trainees who received the emotion-control strategy had lower levels of state anxiety. Implications for development of an integrated theory of active learning, learner-centered design, and research extensions are discussed.     

An effective metacognitive strategy: learning by doing and explaining with a computer‐based Cognitive Tutor

Recent studies have shown that self‐explanation is an effective metacognitive strategy, but how can it be leveraged to improve students' learning in actual classrooms? How do instructional treatments that emphasizes self‐explanation affect students' learning, as compared to other instructional treatments? We investigated whether self‐explanation can be scaffolded effectively in a classroom environment using a Cognitive Tutor, which is intelligent instructional software that supports guided learning by doing. In two classroom experiments, we found that students who explained their steps during problem‐solving practice with a Cognitive Tutor learned with greater understanding compared to students who did not explain steps. The explainers better explained their solutions steps and were more successful on transfer problems. We interpret these results as follows: By engaging in explanation, students acquired better‐integrated visual and verbal declarative knowledge and acquired less shallow procedural knowledge. The research demonstrates that the benefits of self‐explanation can be achieved in a relatively simple computer‐based approach that scales well for classroom use.     

Social influences on cognitive strategies and cognitive development: The role of communication and instruction

Cognitive strategy training has been shown empirically to be extremely effective in enhancing learning and memory performance in retarded individuals. However, the theoretical status and applied utility of the strategy concept has been subjected to increasing criticism, particularly regarding the lack of definition and specificity in its use, when it is involved in instructional procedures applied to typical learning and information processing tasks. Extensions of research in language and communication provide a social basis for analyzing instruction, in terms of communication theory and pragmatics, and a possible approach to more general studies of the skills and strategies of information processing. The question arises whether rather disparate views of cognitive processing systems can be synthesized, or, by their mutual consideration, at least provide a basis for clearer articulation of research issues. A synthesis of prominent usages of the “strategic processing” construct derived from the social basis of communication theory is advanced.     

Knowledge Structures and Linear Separability: Integrating Information in Object and Social Categorization

These experiments were designed to determine if the naturalness of abstract category structures varies with content domain. Specifically, the degree to which linear separability constrains categorization was investigated in object and social domains. Linearly separable (LS) categories are categories that can be perfectly partitioned on the basis of a weighted, additive combination of component information. Across a wide variety of stimulus materials and classification tasks LS structures were found to be more compatible with social than object materials. In sorting tasks, participants were more likely to sum characteristic features and form LS categories with social materials. In learning tasks, LS structures were easier to learn with social materials but nonlinearly separable structures were easier to learn with object materials. This interaction between category structure and content domain was attributed to differences in the types of knowledge and integration strategies that were activated. In object conditions, strategies that were inconsistent with adding independent features were observed (e.g., focusing on single dimensions, using configural properties, and relying on analogy). In social conditions, however, summing the evidence and learning LS structures appeared to be a natural strategy. It was concluded that the structure of knowledge varies with domain, and consequently it will be difficult to formulate domain general constraints in terms of abstract structural properties such as linear separability. Differences between object and social categorization systems are discussed.     

ADAPTIVE GUIDANCE: ENHANCING SELF-REGULATION, KNOWLEDGE, AND PERFORMANCE IN TECHNOLOGY-BASED TRAINING

Considerable research has examined the effects of giving trainees control over their learning (Steinberg, 1977, 1989; Williams, 1993). The most consistent finding of this research has been that trainees do not make good instructional use of the control they are given. Yet, today's technologically based training systems often provide individuals with significant control over their learning (Brown, 2001). This creates a dilemma that must be addressed if technology is going to be used to create more effective training systems. The current study extended past research that has examined the effects of providing trainees with some form of advisement or guidance in addition to learner control and examined the impact of an instructional strategy, adaptive guidance, on learning and performance in a complex training environment. Overall, it was found that adaptive guidance had a substantial effect on the nature of trainees' study and practice, self-regulation, knowledge acquired, and performance.     

Enhancing learning and retarding forgetting: Choices and consequences

Our research on learning enhancement has been focusing on the consequences for learning and forgetting of some of the more obvious and concrete choices that arise in instruction, including questions such as these: How does spacing of practice affect retention of information over significant retention intervals (up to 1 year)? Do spacing effects generalize beyond recall of verbal materials? Is feedback needed to promote learning, and must it be immediate? Although retrieval practice has been found to enhance learning in comparison with additional study, does it actually reduce the rate of forgetting? Can retrieval practice effects be extended to nonverbal materials? We suggest that as we begin to find answers to these questions, it should become possible for cognitive psychology to offer nonobvious advice that can be applied in a variety of instructional contexts to facilitate learning and reduce forgetting.     

教材内容的情感性分析及其处理策略

人们对教材的教学心理学分析研究相对较少,仅有的也多囿于认知维度。奥苏贝尔在其意义学习理论框架下研究了教材的意义性及其学习条件问题,并提出了著名的处理教材内容的先行组织者策略,然其研究仍属认知维度。其实,教材也是构成教学中情感现象的一个重要源点,对其进行情感性分析研究,将有助于从情感维度系统优化教学。故本文对教材内容进行较系统的情感分析,归纳为蕴涵显性、隐性、悟性和中性情感因素的四大类,并在教学实验     

分段是视频学习的有效方式吗?

教育心理学中的分段原则认为,将视频学习材料分割成几个小片段进行学习的效果更好。以往关于分段的研究通过两个角度的操纵考察了分段在学习中的作用,一方面是交互性角度,学习者自己控制的分段及系统分段;另一方面是结构性角度,分段是在任意时间点划分和有意义时间点上划分。通过对以往研究结果的整理发现,大部分研究证明分段学习相较于连续学习的成绩更好,并且能降低学习者在学习过程中的感知难度, 提高积极的情感状态,但是对心理努力的影响比较微弱。研究者们从事件分割理论和认知负荷理论的视角对分段的效果做出了解释。未来研究需要继续关注分段的边界条件、拓宽研究的范围、探究分段的认知神经基础等不断完善分段原则在教学中的应用。     

教学心理学情感维度上的一种教材处理策略——心理匹配

在教学心理学领域中,人们往往习惯于从认知维度探索教材的优化处理策略,缺乏情感维度上的相应研究。奥苏贝尔虽提出意义学习的两个内在先决条件：一是学习者有同化新材料的认知结构;二是学习者有意义学习的心向．但他本人也仅从影响学生认知结构的角度,提出教材的认知处理策略──先行组织者策略．而未从影响学生心向的角度．提出教材的情感处理策略。鉴此,本文从情感维度上提出教材处理的心理匹配策略．以冀与认知策略一起共同优化处理教材、呈现教学内容环节,并阐明心理匹配策略的内涵、机制、作用和种类。     

Thirty years of research on online learning

This paper presents a personal account of developments in research on online learning over the past 30 years. Research on how to design online instruction represents an example of applying the science of learning to education. It contributes to the science of learning (as exemplified by developments in cognitive load theory, the cognitive theory of multimedia learning, and incorporating metacognitive, motivational, and affective aspects of learning), the science of instruction (as exemplified by the continuing development of research‐based principles of instructional design), and the science of assessment (as exemplified by supplementing self‐report surveys and retention tests with multilevel transfer tests, log file data during learning, and cognitive neuroscience measures of cognitive processing during learning). Some recurring themes are that learning is caused by instructional methods rather than instructional media, so research should focus on features that are uniquely afforded by digital learning environments; instructional practice should be grounded in rigorous and systematic research, including value‐added experiments aimed at pinpointing the active ingredients in online instruction; research in online learning should identify boundary conditions under which instructional techniques are most effective; and research in online learning should test and contribute to learning theory.     

STEP—A System for Teaching Experimental Psychology using E-Prime

Students in psychology need to learn to design and analyze their own experiments. However, software that allows students to build experiments on their own has been limited in a variety of ways. The shipping of the first full release of the E-Prime system later this year will open up a new opportunity for addressing this problem. Because E-Prime promises to become the standard for building experiments in psychology, it is now possible to construct a Web-based resource that uses E-Prime as the delivery engine for a wide variety of instructional materials. This new system, funded by the National Science Foundation, is called STEP (System for the Teaching of Experimental Psychology). The goal of the STEP Project is to provide instructional materials that will facilitate the use of E-Prime in various learning contexts. We are now compiling a large set of classic experiments implemented in E-Prime and available over the Internet from http://step.psy.cmu.edu. The Web site also distributes instructional materials for building courses in experimental psychology based on E-Prime.     

Training in Self-Explanation and Self-Regulation Strategies: Investigating the Effects of Knowledge Acquisition Activities on Problem Solving

Previous research has found positive correlations between particular strategies students use while studying to explain instructional materials to themselves and student performance on associated problem-solving tasks (Chi, Bassok, Lewis, Reimann, & Glaser, 1989; Pirolli & Bielaczyc, 1989; Pirolli & Recker, 1994). In the study reported here, we investigate the causal nature of this relation. This was accomplished by identifying a set of self-explanation and self-regulation strategies used by high-performance students in our earlier studies. We used strategy training to manipulate students' application of these strategies and examined the impact of their use on student explanations and performance. Twenty-four university students with no prior programming experience worked through a sequence of programming lessons. Following introductory lessons, participants received interventions involving explicit training in the strategies (instructional group) or received a similar set of interventions but no explicit training (control group). The instructional group showed significantly greater gains than the control group in the use of self-explanation and self-regulation strategies from the pre- to postinterventions lessons. Increased strategy application was accompanied by significantly greater performance gains. The results indicate that the particular self-explanation and self-regulation strategies used in training contribute to learning and problem-solving performance.     

Partial Verbal Redundancy in Multimedia Presentations for Writing Strategy Instruction

Multimedia instructional materials require learners to select, organize, and integrate information across multiple modalities. To facilitate these comprehension processes, a variety of multimedia design principles have been proposed. This study further explores the redundancy principle by manipulating the degree of partial redundancy between written and narrated content. Ninety high school students learned about cohesion via animated lesson videos from the Writing Pal intelligent tutoring system. Videos were crafted such that narrated and onscreen written content overlapped by 10%, 26%, or 50%. Across conditions, students gained significantly in their knowledge of cohesion‐building strategies and the effects of cohesion on writing quality. However, degree of redundancy did not influence learning gains. Additionally, although more‐skilled readers outperformed less‐skilled readers, reading skill did not interact with the degree of redundancy. These results provide evidence that a broad range of partially redundant multimedia materials may be viable instructional tools that benefit diverse learners. Copyright © 2015 John Wiley & Sons, Ltd.     

Optimal allocation of instructional effort to interrelated learning strands

The problem of allocating instructional effort to two interrelated blocks of learning material is studied. In many learning environments, the amount of material that has been mastered in one area of study affects the learning rate in another distinct but related area—for example, the curriculum subjects of mathematics and engineering. A model is developed that describes this phenomenon, and the Pontryagin Maximum Principle of control theory is applied to determine optimal instructional policies based on the model. The nature of this optimal solution is to allocate instructional effort so that the learner follows a maximal average learning rate “turnpike” path until near the end of the study period and then concentrates on only one strand. This strategy, when applied to a more realistic stochastic model, defines a closed-loop feedback controller that determines daily instructional allocation based on the best current estimate of how much the student has learned. This estimate is calculated by a multistage linear filter based on the Kalman filtering technique.     

Cognitive Load While Learning to Use a Computer Program

There is a growing body of evidence suggesting that many traditional instructional techniques may unnecessarily overload limited working memory and impede learning. Based on cognitive load theory, it was hypothesised that instructional design only takes on a crucial role when there is a high level of interaction between learning elements resulting in those elements having to be simultaneously held in working memory. When there is little, if any, interaction between individual learning elements, then the format of presentation should be inconsequential. These hypotheses were tested using a computer-aided design/computer-aided manufacture (CAD/CAM) package with trainees from a Sydney company. Results showed that when instructions involved high element interactivity, a self-contained manual that physically integrated disparate information and did not require the use of the computer hardware was vastly superior to instructional formats that involved continual interaction with the computer. No differences were found between instructional formats when the learning material entailed low element interactivity. Evidence that these findings were due to cognitive load rather than other factors came from secondary task analysis. In light of these and previous results, suggestions are made for cognitively guided instructional packages.