Learning residential electrical wiring through computer simulation: The impact of computer‐based learning environments on student achievement and cognitive load

Multimedia learning environments such as computer simulations are widely accepted as tools for supporting science learning. Although the design of multimedia learning environments can be domain specific, few studies have focused on the use of computer simulations for learning residential electrical wiring. This study aimed to determine whether students using computer simulations learned better than traditional classroom learners in the domain of residential wiring. A quasi‐experiment was implemented with 169 high school students. The simulation group participated in a series of computer simulations, whereas the control group received lectures and demonstrations from an instructor. Students' cognitive load as elevated by multimedia leaning tasks was compared with that of students learning using traditional methods. The simulation group learned significantly better and reported higher cognitive load than did the control group. Moreover, the simulation group managed cognitive resources more efficiently on transfer of learning than did the control group. Having more opportunities to interact with a simulation‐based learning environment could result in higher cognitive load. The higher cognitive load seemed to result in better performance on the achievement test and, therefore, the learners' mental effort was possibly invested mainly in meaning making in the virtual learning environments. Discussion of the results, instruments and research design, as well as suggestions for future studies are provided.     

The Impact of Instructional Design on College Students’ Cognitive Load and Learning Outcomes in a Large Food Science and Human Nutrition Course

The effective design of course materials is critical for student learning, especially for large lecture introductory courses. This quantitative study was designed to explore the effect multimedia and content difficulty has on students’ cognitive load and learning outcomes. College students (n = 268) were randomized into 1 of 3 multimedia groups: text + graphics (Group 1–TG); audio + text + graphics (Group 2–ATG); or video + audio + text + graphics (Group 3–VATG). Participants answered a demographic survey and pretests before viewing 2 food science supplemental lecture materials (i.e., water mobility and amino acid structures) and completing the cognitive load instrument and post‐tests within a noncontrolled setting. Cognitive load scores were tabulated and compared using a 3 × 3 ANOVA and Tukey post hoc analysis across multimedia groups and food science supplemental lecture materials. Based on the post hoc, students in Group 1–TG had higher intrinsic cognitive load scores than Group 2–ATG (ANOVA, P < 0.05). Cognitive load and post‐test scores were tabulated and compared using a spearman correlation across groups. In Group 1–TG, students that reported less intrinsic cognitive load had higher post‐test scores. Also, students that reported more germane cognitive load had higher post‐test scores. In Groups 2–ATG and 3–VATG, students that reported less extraneous cognitive load had higher post‐test scores (ANOVA, P < 0.05).     

Exploring design features to enhance computer‐based assessment: Learners' views on using a confidence‐indicator tool and computer‐based feedback

Many institutions encourage formative computer‐based assessment (CBA), yet competing priorities mean that learners are necessarily selective about what they engage in. So how can we motivate them to engage? Can we facilitate learners to take more control of shaping their learning experience? To explore this, the Learning with Interactive Assessment (LINA) project, a small‐scale study, trialed a selection of online, interactive question features designed to increase motivation, particularly of work‐based learners, and to enhance learners' ability to self‐regulate their own learning experience. We present initial findings on learner perceptions of: (1) a confidence indicator tool—for learners to indicate their confidence that their answer will be correct before answering a question; (2) a learning log—for learners to insert reflections or view system‐recorded information about their learning pathway; and (3) question feedback—for displaying a range of author comments. Themes emerged relating to motivational, behavioural and cognitive factors, including risk taking and skills in self‐assessment. A serendipitous finding highlights learners' frequently not reading onscreen feedback and presents perceptions on when feedback becomes most useful. Motivators and barriers to engagement and self‐regulation are discussed in relation to principles of best feedback practice.     

The use of augmented reality to foster conceptual knowledge acquisition in STEM laboratory courses—Theoretical background and empirical results

Learning with hands-on experiments can be supported by providing essential information virtually during lab work. Augmented reality (AR) appears especially suitable for presenting information during experimentation, as it can be used to integrate both physical and virtual lab work. Virtual information can be displayed in close spatial proximity to the correspondent components in the experimentation environment, thereby ensuring a basic design principle for multimedia instruction: the spatial contiguity principle. The latter is assumed to reduce learners' extraneous cognitive load and foster generative processing, which supports conceptual knowledge acquisition. For the present study, a tablet-based AR application has been developed to support learning from hands-on experiments in physics education. Real-time measurement data were displayed directly above the components of electric circuits, which were constructed by the learners during lab work. In a two group pretest–posttest design, we compared university students' (N = 50) perceived cognitive load and conceptual knowledge gain for both the AR-supported and a matching non-AR learning environment. Whereas participants in both conditions gave comparable ratings for cognitive load, learning gains in conceptual knowledge were only detectable for the AR-supported lab work.     

Taming a beast of burden – On some issues with the conceptualisation and operationalisation of cognitive load

Research on cognitive load theory (CLT) has not yet provided facet-specific measures of cognitive load. The lack of valid methods to measure intrinsic, extraneous and germane cognitive load makes it difficult to empirically test theoretical explanations of effects caused by manipulations of instructional designs. This situation also imposes challenges to testing CLT as a theory. This paper critically reflects the conceptualisation of CLT's core concept and the implications for its operationalisation. In order to address some of the challenges we propose a complexity framework that allows the derivation of a priori estimates of mental load that go beyond CLT's notion of element interactivity. In a study we test hypotheses with regard to effects of the variation of sources for intrinsic cognitive load (increase of complexity within tasks) and the variation of sources for extraneous cognitive load (reduction of extraneous cognitive load between tasks) in three ability groups. Complexity-based estimates prove superior to element interactivity-based estimates of mental load in the prediction of performance outcomes. Results also indicate that individual differences in information-processing capacity determine to what extent complexity is reflected as cognitive load. In this respect the proposed framework extends the focus of CLT beyond the discussion of the role of prior knowledge and acquired levels of expertise.     

Solving complex problems: A convergent approach to cognitive load measurement

The study challenged the current practices in cognitive load measurement involving complex problem solving by manipulating the presence of pictures in multiple rule‐based problem‐solving situations and examining the cognitive load resulting from both off‐line and online measures associated with complex problem solving. Forty‐eight participants were recruited from a subject pool in the Educational Psychology department in a large research university in western USA. Results showed that the presence of pictures had no effect on learners' complex problem solving as measured by the response time and accuracy. However, the online measure (eg, pupillometric measures) revealed a change in cognitive load associated with the presence of pictures in complex problem solving. The authors concluded that different measures of cognitive load may actually be measuring separate aspects of cognitive load. Discussions were made on how research on multimedia learning and cognitive load could be advanced by carefully considering multiple aspects of cognitive load and by including the use of convergent measurement techniques to capture the variations of cognitive load involved in learning.     

The effects of multimedia video lectures on extraneous load

An important part of online courses is the delivery of instruction via video lectures. Video lectures should use media effectively to reduce extraneous load and maximize cognitive processing, thereby helping students to learn. Instructors may be able to reduce extraneous load by varying the number of audio and visual media used. This study presents analysis from a survey of students (n = 1701) enrolled in a cyber university in South Korea to investigate the relationship between media diversity in video lectures and extraneous load. Results showed a negative relationship between media diversity and extraneous load. Students who noted more types of media stated that they experienced less extraneous load. The implications of these results are of use to instructors who want to use diverse media to promote a better understanding of learning material.     

Cognitive Load and Learner Expertise: Split-Attention and Redundancy Effects in Reading with Explanatory Notes

Five experiments were conducted to examine the effects of cognitive load management using explanatory notes in reading passages for readers with different levels of expertise. Experiment 1 found that explanatory notes improved 5th-grade, first-language learners' comprehension (high-level processing) but not vocabulary learning (low-level processing). Experiment 2 found that vocabulary definitions integrated within a passage (integrated format) enhanced 5th graders' comprehension compared to a separate vocabulary list (separated format) but reduced vocabulary learning. Experiment 3, using adult readers, found that an integrated format reduced comprehension but enhanced vocabulary learning. Experiment 4 used low-ability 8th-grade learners of English as a second language (ESL) and found an effect similar to the 5th graders in Experiment 2. Experiment 5 showed that the effect for high-ability ESL learners was similar to the adults in Experiment 3. We argue that the efficiency of instruction depends on the extent to which it imposes an extraneous cognitive load. The same presentation format may facilitate performance or interfere with performance either through split-attention or redundancy effects, depending on learners' expertise.     

Effects of pairs of problems and examples on task performance and different types of cognitive load

In two studies, we investigated whether a recently developed psychometric instrument can differentiate intrinsic, extraneous, and germane cognitive load. Study I revealed a similar three-factor solution for language learning (n = 108) and a statistics lecture (n = 174), and statistics exam scores correlated negatively with the factors assumed to represent intrinsic and extraneous cognitive load during the lecture. In Study II, university freshmen who studied applications of Bayes' theorem in example–example (n = 18) or example–problem (n = 18) condition demonstrated better posttest performance than their peers who studied the applications in problem–example (n = 18) or problem–problem (n = 20) condition, and a slightly modified version of the aforementioned psychometric instrument could help researchers to differentiate intrinsic and extraneous cognitive load. The findings provide support for a recent reconceptualization of germane cognitive load as referring to the actual working memory resources devoted to dealing with intrinsic cognitive load.     

Element Interactivity and Intrinsic,Extraneous, and Germane Cognitive Load

In cognitive load theory, element interactivity has been used as the basic, defining mechanism of intrinsic cognitive load for many years. In this article, it is suggested that element interactivity underlies extraneous cognitive load as well. By defining extraneous cognitive load in terms of element interactivity, a distinct relation between intrinsic and extraneous cognitive load can be established based on whether element interactivity is essential to the task at hand or whether it is a function of instructional procedures. Furthermore, germane cognitive load can be defined in terms of intrinsic cognitive load, thus also associating germane cognitive load with element interactivity. An analysis of the consequences of explaining the various cognitive load effects in terms of element interactivity is carried out.     

Learners Emphasize Their Intrinsic Load if Asked About It First: Communicative Aspects of Cognitive Load Measurement

Cognitive load measurement is an important aspect of educational research. Current cognitive load surveys differentiate between intrinsic cognitive load (resulting from the complexity of learning materials) and their extraneous cognitive load (which is increased by a demanding design). In two studies, order effects of cognitive load subscales are demonstrated. Asking learners regarding their intrinsic load first increases their responses concerning this type of load, with little effect on extraneous load ratings. This effect can be replicated even when extraneous load is intentionally induced. This finding has important implications for cognitive load research, as the order of surveys appears to bias cognitive load ratings. As most cognitive load research is conducted to find ways of reducing extraneous load, it may be reasonable to carefully consider whether and when intrinsic load items are included in studies. Generally, the results show that study participants seem to emphasize certain demands, similar to a dialogue.     

英国文学多媒体教学手段中的认知负荷调节

认知负荷理论把工作记忆的限制性看作学习的主要障碍。在英国文学课程教学内容的内在认知负荷相对固定的前提下,应该在多媒体教学手段的设计和使用中减少外在认知负荷,增加相关认知负荷,从而改善学习效果。     

Expertise reversal effect and sequencing of learning tasks in online English as a second language learning environment

The aim of this paper is to examine the effects of sequencing instructional materials and learners' prior knowledge on learning ESL (English as a second language) through an online learning course. 121 fifth-grade students from an elementary school in Korea participated in the study. Each participant was allocated to one cell of a 2?×?2 between-subjects factorial design, with an instructional format (i.e. sequential or concurrent) as a first factor, and prior knowledge (i.e. high or low) as a second factor. Instructions of the words and grammar rules were allocated to each page for the sequential group, whereas integrated on a single page for the concurrent group. The result indicates that the sequential instruction of words followed by grammar explanations was more effective for the students with higher levels of prior knowledge than the concurrent presentation. The reverse was also found for the students with lower levels of prior knowledge in English. There are four possible explanations for the results. First, split-attention effect, temporal-contiguity effect, or transient information effect might occur. Second, worked-example effect might occur and over-ride the effect of sequencing. Third, intrinsic and extraneous cognitive load might intertwine each other. Last, the levels of element interactivity in two instructional formats might be different from each other. The implications for instructional designers and future research are discussed.     

Cognitive Load Theory: How Many Types of Load Does It Really Need?

Cognitive load theory has been traditionally described as involving three separate and additive types of load. Germane load is considered as a learning-relevant load complementing extraneous and intrinsic load. This article argues that, in its traditional treatment, germane load is essentially indistinguishable from intrinsic load, and therefore this concept may be redundant. Contrary to extraneous and intrinsic load, germane cognitive load was added to the cognitive load framework based on theoretical considerations rather than on specific empirical results that could not be explained without this concept. The design of corresponding learning activities always required methods and techniques external to the theory. The article suggests that the dual intrinsic/extraneous framework is sufficient and non-redundant and makes boundaries of the theory transparent. The idea of germane load might have an independent role within this framework if (as recently suggested by John Sweller) it is redefined as referring to the actual working memory resources devoted to dealing with intrinsic rather than extraneous load.     

Self‐Concept and Learning: the revised inventory of learning processes

The Inventory of Learning Processes is a unique measure of learning style in that it was developed within the context of cognitive psychology, and derived from laboratory research concerned with information processing and memory. The present paper describes some of the early research examining the validity of the original Inventory of Learning Processes, and then presents a revised version of the inventory along with reliability and validity data. More than 15 years of research with the same assessment instrument have lead to the development of a model of student learning. The two major routes to academic achievement are reflective processing and agentic processing. Reflective processing is somewhat free‐associative and ultimately dialectical, deriving personal meaning by contrasting opposing perspectives on one's experience. Reflective processing includes deep and elaborative processing, and a determination to express one's self. The other approach to achievement, agentic processing, is highly directed, purposive and responsive to external contingencies. Agentic processing includes conventional serial processing and fact retention. Ultimately, the smooth flow of cognition (and thus integration and versatility with regard to functions) is limited by one's self‐concept. It appears that one's concept of self‐as‐student includes intrinsic motivation, self‐efficacy, a reluctance to blindly memorise the words of authority figures and self‐esteem. Difficulties on any of these dimensions tend to short‐circuit the total involvement of self and limit the extent to which cognitive activity can flow smoothly during academic studying.     

Motives,beliefs, and perceptions among learners affect preparatory learning strategies

Preparation is an effective and necessary activity; however, most students do not prepare for future lessons. The present study addressed this problem and examined how learners' motives, beliefs, and perceptions affected their strategy use during preparation for future lessons. Participants were 219 Japanese junior high school students who responded to a questionnaire about mathematics learning. The result of a path analysis suggested that learners' intrinsic motives, extrinsic motives, and cognitive beliefs about learning positively related to their spontaneously obtaining prior knowledge and solving example problems. In addition, noncognitive beliefs positively affected perceived cost of preparation and decreased obtaining prior knowledge. Implications for educational practice, limitations of the present study, and suggestions for future research are discussed.     

Facilitators or suppressors: Effects of experimentally induced emotions on multimedia learning

The present study investigated the influence of experimentally induced emotions (positive, neutral, negative) on learning with multimedia instruction with N = 75 university students. In order to provide sound explanations about how emotional state might impact learning, measures of motivation, cognitive load, and attentional processes (eye tracking) were integrated. Results showed that while emotions did not influence retention, emotions did influence outcomes of the comprehension and transfer test. Specifically, a facilitating effect of an induced negative emotional state on learning outcomes was observed, which could be attributed to a more focused and detailed information processing. In contrast, an induced positive emotional state had a suppressing effect on learning outcomes since learners were distracted from the learning materials by their emotions. Motivational measures were not influenced by learners' different emotional states, but overall, controlled motivation increased and autonomous motivation decreased during learning. In sum, the learners' emotional state should be considered in learning research as an important predictor for learning success.     

多媒体辅助语言学习中的认知负荷阐释

多媒体辅助语言学习的多样性、交互性和集成性在呈现给学习者大量信息的同时,也造成了学习者的认知超负荷状态.言语信息加工中的认知负荷根据其认知需求可分为：内在认知负荷、外在认知负荷和相关认知负荷.多媒体外语教学软件制作应尽量减少学习者认知负荷,具体可采取卸载技术、分解技术、演练技术、清除技术、标记技术、调整技术、消除冗余技术、同步技术、个性化设计等.     

认知负荷理论在口译教学设计中的应用

以认知负荷理论为理论框架,描述认知负荷理论在大学英语专业口译教学设计中的应用。在口译教学设计过程中,要充分考虑口译课程特点和学生认知水平,适当降低口译材料的难度以控制内在负荷,优化口译材料的呈现方式以降低外在负荷,同时激发和维持学生的口译学习动机,增加有效负荷,从而提高口译教学的效率。     

Seven plus or minus two

For over 50 years, seven plus or minus two has been a commonly used guideline for gauging how many chunks of new information should be presented at one time in learning and performance situations. Often cited as the limit of working memory, this guideline was created as a result of misinterpreting an article by Miller (1956). More recent studies suggest that the limit for working memory is more like three, and sometimes four, with various factors influencing the capacity of an individual's working memory. Given too much novel information at one time, learners and performers can be derailed by cognitive overload. Instructional designers and performance consultants can adjust the presentation of new information to manage intrinsic, extraneous, and germane cognitive load. This column provides suggestions about how to reduce cognitive overload to improve learning and performance.