A Slippery Myth: How Learning Style Beliefs Shape Reasoning about Multimodal Instruction and Related Scientific Evidence

The learning style myth is a commonly held myth that matching instruction to a student's “learning style” will result in improved learning, while providing mismatched instruction will result in suboptimal learning. The present study used a short online reasoning exercise about the efficacy of multimodal instruction to investigate the nature of learning styles beliefs. We aimed to: understand how learning style beliefs interact with beliefs about multimodal learning; characterize the potential complexity of learning style beliefs and understand how this short exercise might influence endorsements of learning styles. Many participants who believed in the learning style myth supported the efficacy of multimodal learning, and many were willing to revise their belief in the myth after the exercise. Personal experiences and worldviews were commonly cited as reasons for maintaining beliefs in learning styles. Findings reveal the complexity of learning style beliefs, and how they interact with evidence in previously undocumented ways.     

The effects of video modeling with voiceover instruction on accurate implementation of discrete-trial instruction

The present study replicates and extends previous research on the use of video modeling (VM) with voiceover instruction to train staff to implement discrete-trial instruction (DTI). After staff trainees reached the mastery criterion when teaching an adult confederate with VM, they taught a child with a developmental disability using DTI. The results showed that the staff trainees' accurate implementation of DTI remained high, and both child participants acquired new skills. These findings provide additional support that VM may be an effective method to train staff members to conduct DTI.     

Generalized instruction following with pictorial prompts

The benefits of permanent pictorial prompts in enhancing maintenance and generalization are likely dependent on their degree of stimulus control and the extent to which their use is generalized. Although several studies on the use of pictorial prompts have demonstrated their efficacy (e.g., Pierce & Schreibman, 1994; Wacker & Berg, 1983; Wacker, Berg, Berrie, & Swatta, 1985), there is still some question regarding what ultimately controlled responding. The present study allowed an explicit examination of stimulus control by pictorial prompts. Three 4-year-old children with developmental disabilities were taught to complete 4 instructional sets (5 steps each) using pictorial prompts such that the prompts would control responding. All 3 participants showed generalization to the final set after training with 3 sets. These results suggest that training a single task sequence may not be sufficient for acquisition of generalized pictorial instruction following. However, establishing stimulus control by the pictorial prompts rather than teaching behavioral chains may facilitate acquisition of a generalized repertoire.     

Evaluation of a self-instruction package for conducting stimulus preference assessments

Research suggests that inexperienced individuals cannot accurately implement stimulus preference assessments given written instructions alone. Training that includes written instructions supplemented with feedback from a professional with expertise in conducting preference assessments has proven effective; unfortunately, expert-facilitated direct training may not be widely available. In the current study, we used multiple baseline designs to evaluate the efficacy of an antecedent-only self-instructional package to train staff members to implement two methods of stimulus preference assessments. Accuracy was low when participants had access to written instructions alone. When access to enhanced written instructions was provided (i.e., technical jargon was minimized; instructions included pictures, diagrams, and step-by-step examples), inexperienced staff accurately implemented the assessments. Results are discussed in terms of opportunities to disseminate behavior-analytic technologies through self-instruction and print resources.     

Training Motor Sequences: Effects of Speed and Accuracy Instructions

Participants practiced a fixed 3- and a fixed 6-key press sequence for 144 times each. In the speed group, they were instructed to execute their sequences fast without bothering much about errors while the accurate group was instructed to be careful and prevent errors. In the test phase, participants executed series of 3 and 6 responses (a) when all element-specific stimuli were displayed in the familiar order, (b) in response to just the familiar first stimulus, and (c) by responding to random stimuli. The speed instruction yielded stronger sequencing skill while the accuracy instruction developed stronger reaction skill.     

Intentional Teaching Facilitates Young Children's Comprehension and Use of a Symbolic Object

Children are exposed to symbolic objects that they have to learn to use very early in life. The authors’ aim was to examine whether it is possible to intentionally teach young children the symbolic function of an object. They employed a search task in which children had to use a map to find a toy. Experiment 1 revealed that with no instruction 3-year-, 10-month-old children were quite successful; 3-year-, 6-month-olds showed a divided performance; and 3-year-, 0-month-olds failed. With this baseline, Experiment 2 compared the performance of 3-year-, 0-month-olds in three different conditions: no-instruction, complete instruction (before the task begins), and teaching (complete instruction plus corrective feedback); only children in the teaching condition succeeded. However, children 6 months younger, 2-year-, 6-month-olds, failed despite teaching that was provided (Study 3). This research shows that at some points in development instruction is not enough; intentional teaching in communicative contexts is the mechanism that boosts symbolic understanding in early childhood.     

Deriving relations at multiple levels of complexity following minimal instruction: A demonstration

Recommendations for achieving generalized instructional outcomes often overlook the capacity for generative learning for most verbally competent humans. Four children (ages 5–8) participated in this project. In Study 1, we provided decontextualized discrete trial teaching to establish arbitrary relations between colors, pictures of characters, and researcher motor actions. All participants engaged in derivative responding, providing evidence of relational framing. Subsequently, we demonstrated that, with no additional instruction, these derivatives contributed to effective action within a socially valid context (i.e., Candyland gameplay). Study 2 extended the demonstration by teaching frames of opposition. Following teaching, all participants engaged in novel and contextually appropriate responding that entailed the derivation of both coordination and opposition between untrained stimuli. This outcome demonstrates how teaching simple relations can result in learning that manifests at higher levels of complexity (i.e., relational networking), providing some evidence that there can be socially valid benefits to decontextualized discrete trial instruction.     

Nonverbal communication during the learner lesson with a professional driving instructor: A novel investigation

BackgroundFundamental for the development of the driving and road use skills of the young driver is learning to drive through driving instruction and, in graduated driver licensing programs such as in Australia, driving supervision. In Queensland young drivers are required to log a minimum of 100 h supervised practice, with recent research revealing that parents provide most of this supervision. Queensland also offers young drivers a 10-h 3-for-1 bonus for professional driving instruction, such that one hour of professional instruction can be logged as three hours of practice, to a maximum of 30 logbook hours. Recent research efforts have begun to provide insight into the nature of the verbal instruction of both parents and professional instructors, and into the nonverbal communication between parents and learners. However nothing is known regarding the nonverbal communication between professional instructors and learners.MethodTen learner lessons (five male learners) with four professional instructors (four males) were captured via GoPro cameras. The nonverbal communication during the first, middle, and last 10 min of each lesson was coded as being posture and body orientation, gestures, facial expressions, proximity, humour, and eye contact, within the context of the accompanying verbal communication according to the value of (a) eager, or (b) cautious; the valence of (a) neutral, (b) positive, or (c) negative; and the purpose of (a) rapport, or (b) communication.ResultsOverall, posture and body orientation was the most common mechanism of nonverbal communication, while facial expressions and proximity were the least common mechanisms of nonverbal communication. In general the beginning, the middle, and the end of the lessons were characterised by a plethora of neutral, cautious interactions, and positive, eager interactions. However it is noteworthy that the rates at which learners and instructors engaged in these behaviours were found to change across the lesson. Specifically learners actively communication nonverbally through mechanisms such as eye contact, facial expressions and humour, while instructors appeared to manage building rapport and communicating safe vehicle and road use through nonverbal communication such as gestures, facial expressions and posture and body orientation, summarised in a model comprising a continuum of instruction.DiscussionWhile nonverbal communication is fundamental for effective verbal communication, and on occasion can replace verbal communication, and as such the professional – and the parental – driving lesson should optimise the use of nonverbal communication, at this time the optimal nature of nonverbal communication remains unknown. In addition, optimal verbal and nonverbal communication specifically suited to the driving context which involves a dynamic environment outside the vehicle, and at times a dynamic environment inside the vehicle, remains yet to be identified. The research findings provide unique insight into the nature of the nonverbal communication used by both learner drivers and professional driving instructors, in addition to the continuum of instruction model. As such, the findings provide a solid foundation for future research into, and guidance regarding, optimising the learner driving lesson.